Journal articles on the topic 'SOLAR PHOTOVOLTAIC (SPV)'
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Harmini, Harmini, and Titik Nurhayati. "DESAIN SISTEM POMPA AIR SOLAR PHOTOVOLTAIC (SPV) 125 WATT DI DESA RAMBAT, KECAMATAN GEYER, KABUPATEN GROBOGAN." Elektrika 10, no. 1 (April 4, 2018): 10. http://dx.doi.org/10.26623/elektrika.v10i1.1118.
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<p> In this research will be designing a prototype of a water pump system using solar photovoltaic (SPV) that is designing a SPV in accordance with the needs of PV with the capacity of water pump. The power generated by the photovoltaic system will be used to drive the water pump. One of the areas in Central Java region that have not received water source is Dusun satreyan, Rambat Village Geyer Subdistrict Grobogan District. The solar photovoltaic (SPV) water pump system is de-signed using SPV panels, Solar Charge Controller, Battery and Inverter for the needs of 1 family head with water capacity per day is 300 Liter. The water pump capacity is 125 Watt, the number of SPV panels of 2 each with a capacity of 100 Wp, battery capacity, solar charge controller and inverter is 60 Ah, 10.42 Ampere and 12 volts DC 220 VAC. The average effi-ciency rating of the SPV water pump system as a whole is 61.18%</p><p>Keywords: MPPT,Solar Photovoltaic, Tracking. </p>
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Sayyad, Javed K., and Paresh S. Nasikkar. "Solar photovoltaic module performance characterisation using single diode modeling." E3S Web of Conferences 170 (2020): 01023. http://dx.doi.org/10.1051/e3sconf/202017001023.
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Single or double diode electrical modeling of SPV module gives valuable results which will help to identify the exact behavior of SPV module under the normal operating condition. Accurate modelling of SPV module will also help to calculate internal resistances (Rs, Rsh) and parasitic of the SPV module. The main contribution of this work is the stepwise simplification of the current equation of single and double diode electrical model of SPV module. Then the single diode model of SPV module having 36 SPV cells in series is simulated in LTspice simulator. Simulated results are compared with labelled electrical parameters which shows close proximity to the labelled parameter at particular values of series and shunt resistance. This paper also presents the effect of variation in series resistance (Rs) and shunt resistance (Rsh) on the performance of the SPV module under normal operating condition. The dependency of SPV electrical parameters (Imax, Vmax, Pmax, FF, η) with the variation of series resistance (Rs) and shunt resistance (Rsh) is simulated, and the effects are discussed in details.
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Prasanna, R., C. Karthik, Subrata Chowdhury, and Baseem Khan. "Comprehensive Review on Modelling, Estimation, and Types of Faults in Solar Photovoltaic System." International Journal of Photoenergy 2022 (October 8, 2022): 1–12. http://dx.doi.org/10.1155/2022/3053317.
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Solar photovoltaic (SPV) system fault diagnostics is vital in advanced supervision because it can alert users to catastrophic failure or greater risks. To provide green and clean energy using solar, it is mandatory to analyse various faults associated with photovoltaic system which can result in energy deficit and system breakdown and may lead to fire hazards which are often difficult to avoid. Hence, as an endeavour to improve the efficiency level, more study beginning with modelling of SPV system with its parameter estimation and types of SPV faults is aimed in this work.
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Phadtare, Prajakta D., A. G. Mohod, Shinde Ankita, Y. P. Khandetod, K. G. Dhande, and S. V. Aware. "Devlopment and Evaluation of Modified Solar Photovoltaic Powered Paddy Winnower." International Journal of Environment and Climate Change 13, no. 6 (April 18, 2023): 345–53. http://dx.doi.org/10.9734/ijecc/2023/v13i61833.
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A solar photovoltaic (SPV) powered paddy winnower was developed and evaluated at CAET, BSKKV, Dapoli. In order to eliminate the operational problems and difficulties, it was proposed to modify the existing SPV power operated paddy winnower, for better and improved performance. The existing SPV operated paddy winnower was tested to find the operational difficulties, and the physical properties of different paddy verities i.e., Ratnagiri-1, Ratnagiri-6, karjat-3. Including the terminal velocity, angle of repose, bulk density. It was found that improving several parameters can eliminate the operational difficulties from the existing SPV operated paddy winnower. The necessary modifications were incorporated in a modified SPV operated paddy winnower. The modified SPV operated paddy winnower was tested for Ratnagari-1 Variety of paddy and its improved performances were reported.
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Hazarika, Kangkana, and Pradyumna Kumar Choudhury. "Automatic monitoring of solar photovoltaic (SPV) module." Materials Today: Proceedings 4, no. 14 (2017): 12606–9. http://dx.doi.org/10.1016/j.matpr.2017.10.069.
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V Mounika and Tejavath Suhasini. "A Novel DC-DC Converter Based Closed Loop Control of BLDC Motor for SPV fed Water Pumping System." International Journal for Modern Trends in Science and Technology 06, no. 09 (November 25, 2020): 240–47. http://dx.doi.org/10.46501/ijmtst060935.
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This Paper Presents Novel DC-DC Converter Based Closed Loop Control of BLDC Motor for SPV fed Water Pumping System Solar Photovoltaic (SPV) Array fed Water pumping System Utilizing Buck-boost DC-DC Converter in order to extract the maximum available power from Solar system. Solar energy has the greatest availability compared to other energy sources. For such solar PV systems, maximum power point tracking control is preferred for efficient operation. This concept is dealing with INC method which is one of the MPPT methods. This study deals with a buck–boost converter controlled solar photovoltaic (SPV) array fed water pumping in order to achieve the maximum efficiency of an SPV array and the soft starting of a permanent magnet brushless DC (BLDC) motor. The current sensors normally used for speed control of BLDC motor are completely eliminated. The speed of BLDC motor is controlled through the variable DC-link voltage of a voltage-source inverter (VSI). The VSI is operated by fundamental frequency switching, avoiding the losses due to high-frequency switching, in order to enhance the efficiency of the proposed system.
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Padole, Nivedita, Ravindra Moharil, and Anuradha Munshi. "Performance Investigation Based on Vital Factors of Agricultural Feeder Supported by Solar Photovoltaic Power Plant." Energies 15, no. 1 (December 23, 2021): 75. http://dx.doi.org/10.3390/en15010075.
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Solar photovoltaic (SPV) installations are growing in the distribution network due to the continuously decreasing prices of solar photovoltaic panels. Installing the SPV Plant on the distribution feeder supplying to the agricultural pumps is a challenging task due to the varying agricultural load pattern of the Agricultural Feeder (AG Feeder). Supply of power and demand creates potential challenges in the low voltage (LV) distribution system. This paper presents a case study of a 2 MW SPV connected to an agricultural feeder in India. Performance analysis has been carried out using field measurement data. The key parameters such as PV Penetration and Capacity Utilization Factor (CUF) are calculated for analysis. Parameters such as Grid Dependency of the load and PV Contribution have been introduced in this paper, which relates to the SPV system behavior more aptly. It is recommended that the Time of Day (ToD) metering with the lowest cost during the solar generation hours will make agricultural consumers shift their demand matching with solar generation hours. Extensive analysis of agricultural feeder connected SPV power plant indicates that the power supply has improved for the feeder during winter and summer months.
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Ramaprabha, R., K. Balaji, SB Raj, and VD Logeshwaran. "Comparison of Interleaved Boost Converter Configurations for Solar Photovoltaic System Interface." Journal of Engineering Research [TJER] 10, no. 2 (December 1, 2013): 87. http://dx.doi.org/10.24200/tjer.vol10iss2pp87-98.
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Solar photovoltaic (SPV) panels that convert light energy into electrical energy through the photovoltaic effect have nonlinear internal resistance. Hence, with the variation in the intensity of light falling on the panel, the internal resistance varies. For effective utilization of the SPV panel, it is necessary to extract the maximum power from it. For maximum power extraction from SPV panels, DC-DC converter interface is used. The problem in using high frequency converter interface is the resultant high frequency ripple interaction with the SPV system. In this work, an interleaved boost converter (IBC) is considered to reduce the ripple. Our finding is that IBC fed by a SPV panel reduces this ripple to a greater extent. IBC also has a faster transient response as compared to conventional boost converters with reduced ripple contents. The main aim of this paper is to present a comparative analysis of the performance of IBC with inductors that are coupled in different ways. The results of the simulation were extrapolated with the help of MATLAB software and verified through experimentation.
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Bhos, Chandrakant D., Javed Sayyad, and Paresh Nasikkar. "Power enhancement using improved maximum power point tracking for solar photovoltaic systems under partial shading." Clean Energy 6, no. 6 (November 14, 2022): 810–16. http://dx.doi.org/10.1093/ce/zkac062.
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Abstract One of the key reasons contributing to a reduction in the performance of a solar photovoltaic (SPV) system is the presence of partial shade on the solar panels. It is necessary to use maximum power point tracking (MPPT) in SPV systems to get around the non-linear behaviour of photovoltaic panels. This research analyses the reduction in power output of SPV systems caused by partial shading. In the latter part of the paper, the improved dynamic behaviour-based ant colony optimization MPPT approach under the effect of module-level partial shading is implemented in MATLAB®/Simulink®. Various partial shading levels were applied to SPV modules to evaluate the system performance. The proposed system follows the maximum power point with 99.9% accuracy and a response time of 2 ms. The addition of a weight coefficient accelerates the convergence of the algorithm.
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Devaraj, P., and E. Haribabu. "Discontinuities in the Trajectory of Solar Photovoltaic (spv) Technology Development in India." Perspectives on Global Development and Technology 14, no. 3 (March 2, 2015): 301–32. http://dx.doi.org/10.1163/15691497-12341348.
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The objective of this paper is to understand different phases of solar photovoltaic (spv) technology in India and the interplay of scientific, technological, economic, and political factors in each of the phases. There are four distinct phases. In the first-phase (1947-1970), spv technology was recognized as an important source of energy for countries like India. In the second phase (1971-1990), the oil crisis led to the formulation of new scientific and technological initiatives and programs in spv, but due to a lack of political commitment the initiatives disintegrated. In the third phase (1991-2003), several factors seemed to have undermined the development of spv sector. Currently in the fourth phase (2003 to the present), India has virtually lost the race for development of photovoltaic technology. Within the context of climate change and resource constraint, India has reformulated its strategy which has taken the form of the Jawaharlal Nehru National Solar Mission Plan (jnnsm).This paper examines how jnnsm influences indigenous attempts in photovoltaic technology development. The paper shows how scientific, technological, economic and political factors have contributed to discontinuities in the development of the technology.
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Nasikkar, Paresh S., and Javed K. Sayyad. "Internet of Things (IoT) based outdoor performance characterisation of solar photovoltaic module." E3S Web of Conferences 170 (2020): 02009. http://dx.doi.org/10.1051/e3sconf/202017002009.
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Outdoor performance characterisation of the Solar Photovoltaic (SPV) module is essential to while designing and commissioning a new SPV power plant. The health of SPV plant is monitored using a conventional method which underutilises the workforce and resources used for Operation and Maintenance (O&M) of the SPV power plant. Outdoor performance characterisation of SPV module using reliable, compact, portable, and economical Current-Voltage (I-V) curve tracer having IoT capability and auto sweep capability is presented in this paper. The capacitive load method is used for I-V curve sweep, and the result is compared with the resistive load method. In this paper, the advantages of using a capacitive load method over resistive load method are observed and experimentally validated. The ease of using IoT feature makes this proposed I-V Curve Tracer (IVCT) device more reliable to trace Current-Voltage (I-V) curve and Power-Voltage (P-V) curve for outdoor performance characterisation of SPV module.
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Harmini, Harmini, and Titik Nurhayati. "DESAIN SISTEM ROOFTOP OFF GRID PANEL SOLAR PHOTOVOLTAIC." Jurnal Pengembangan Rekayasa dan Teknologi 13, no. 2 (October 16, 2018): 47. http://dx.doi.org/10.26623/jprt.v13i2.931.
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<p>Pada saat ini hampir semua rumah tempat tinggal menggunakan sumber energi dari jaringan PLN. Sumber energi listrik yang disediakan oleh PLN sebisa mungkin dilakukan penghematan dalam pemakaian listrik. Salah satu cara yang digunakan adalah setiap rumah menggunakan <em>Roof top</em> panel solar photovoltaic, hal ini bertujuan untuk mengurangi ketergantungan sumber energi dari PLN. Berdasarkan hal tersebut maka perlu dilakukan perancangan dalam pengaplikasian <em>Roof top</em> solar panel. Pada penelitian ini akan dirancang sistem <em>Roof top</em> <em>off grid</em> panel SPV sebagai sumber alternatif energi listrik. Perancangan diperuntukkan untuk sistem <em>Solar Home System</em> (SHS) atau rumah tempat tinggal dengan acuan radiasi matahari di wilayah Jawa Tengah. Sistem <em>rooftop off grid solar photovoltaic</em> dirancang dengan menggunakan komponen panel SPV, baterai, inverter dan charge controller. Kapasitas daya yang dirancang adalah 1.576,2 Watt dan konsumsi energi per hari sebesar 4.260 Wh Jumlah baterai sebanyak 12 unit dengan kapasitas masing-masing 310 Ah, panel SPV sebanyak 6 Unit kapasitas 225 Wp, inverter 1 unit sebesar 1000 Watt dan charge controller 1 unit sebesar 40 A. Sudut kemiringan sebesar 16 derajat. Estimasi biaya investasi yang dikeluarkans sebesar Rp.62.000.000,-</p>
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Rughoo, Dhirajsing. "Solar Power in the Island Nation, Mauritius." E3S Web of Conferences 190 (2020): 00007. http://dx.doi.org/10.1051/e3sconf/202019000007.
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The challenges to integrating a greater share of renewable energy, more specifically solar energy into the power grid in tropical islands are that these islands have a complex microclimate, high humidity and high cloud coverage. Because of this, the power output from solar photovoltaic (SPV) plants is severely affected. In this manuscript, the results of a study carried out on the performance of a 15.2 MW solar photovoltaic (SPV) plant in the island nation Mauritius is presented. The net annual yield was 22 162 MWh and has avoided 22 162 metric t of CO2 emission into the atmosphere. An attempt is also made to develop a model to forecast the power that can be generated from the SPV plants at that location. The grid operator, the national Central Electricity Board (CEB) needs to know a priori, the energy mix for the subsequent few days so that the level of operation of fossil fuel fired thermal plants can be tuned accordingly to minimize the environment pollution of this pristine island.
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Pothuraju, P., and M. Venkatesan. "A Review on Regulation of Hybrid Solar Photovoltaic and Wind Drive Coordination." International Journal of Engineering & Technology 7, no. 4.24 (November 27, 2018): 115. http://dx.doi.org/10.14419/ijet.v7i4.24.21869.
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Now a days electrical energy is essential to social development and for the economic growth of any country. Majorly the world facing the power generation problem. The fossil fuel sourcesare limited and needed to use properly. This huge power generation increases the green house effect. Hence to overcome this effect, prefer combined operation of Solar Photovoltaic (SPV) and Wind power generation systems. Due to high penetration of SPV and wind systems in presen tenergy schememighteffectand form many practical issuesparticularly to individual systems and weak grids, with lack of control and ample loading capability. Hence,incorporating both SPV and wind energy systems to form an optimal arrangement, the effect offlexible nature of wind as well as solar energy can partlydeterminedbesides the whole arrangementsuits more efficient and reliable to operation.This paper presents the exploration on control schemes of combined SPV and wind driveincorporationarrangements. Energy, incidence oscillations and harmonics are significant power quality disputes for grid mode as well as standalone arrangements having hugeeffect in weak networks. Thus can be determined to a hugelevel by having suitable arrangement, innovative reaction techniques with energy storage arrangement and good optimization of both grid onnected and standalone ,hybrid SPV and wind energy systems.
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Uthirasamy, R., V. Kumar Chinnaiyan, S. Vishnukumar, Alagar Karthick, V. Mohanavel, Umashankar Subramaniam, and M. Muhibbullah. "Design of Boosted Multilevel DC-DC Converter for Solar Photovoltaic System." International Journal of Photoenergy 2022 (January 5, 2022): 1–23. http://dx.doi.org/10.1155/2022/1648474.
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Integration of renewable energy sources to the grid-connected system has influenced scholarly research in recent times to evolve solutions for power electronic conversion. Particularly, solar photovoltaic (SPV), being a resource available throughout the year, demands needful research to meet the demand for industrial applications. To facilitate SPV, multilevel inverters (MLIs) and cascaded H-bridge inverters (CHBIs) are proposed in the literature to meet the power requirement. However, these circuits suffer from efficiency loss, economic aspects of DC sources usage, and switching losses. Hence, in this research, a new power converter topology is projected to improve the overall efficiency of SPV systems. Further, a three-level approach involving (i) SPV Panel-Temperature Reduction (SPV-PTR) Setup, (ii) Boost Multilevel Direct Current Link Converter (BMLDCLC), and (iii) use of effective snubber modules (SM) are effectively handled to promote the industry readiness of the proposed system. From a detailed system investigation, it is seen that the proposed arrangement has minimized the power loss to ensure better quality in output. Furthermore, the software-based results and hardware setup of the planned comprehensive converter have shown promising results in terms of (i) reduced voltage stress, (ii) reduced total harmonic distortion (THD) without filter component, and (iii) reduced power loss. It is observed that the experimental setup has reported a 12.9% of excess heat removal, 5% decrease in harmonics, and 33% switch reduction than the existing MLI schemes. In addition, the proposed setup is suggested to apply for industrial purposes indicate its efficacy to be a solution in real time.
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Suresh Babu, G., B. Prem Charan, and T. Murali Krishna. "Performance Analysis of SPV Module Using Solar PVTR System." International Journal of Engineering & Technology 7, no. 3.3 (June 21, 2018): 68. http://dx.doi.org/10.14419/ijet.v7i3.3.14488.
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With a spurt in the use of non-conventional energy sources, photovoltaic installations are being deployed in several applications such as distributed power generation and standalone systems. Solar Photo Voltaic (SPV) module is the basic component of the solar PV system. The functioning of a photovoltaic array is influenced by solar insolation, shading and array arrangement. Often the PV arrays get shadowed, completely or partially by neighboring buildings, trees, towers and service poles. The efficacy of PV array unvaryingly depends upon temperature which in turn is reliant on radiation. In order to validate this hypothesis, there are certain instruments and experimentation methods available which are expensive. But carrying out hardware testing on the solar PV system with Photo Voltaic Training and Research (PVTR) system and simulating using software will lead to least economical method of achieving performance analysis which is the main objective of this paper. The efficiency of PV module is analyzed from I-V and P-V characteristics for this standalone solar pv system by changing radiation and temperature parameters. This paper mainly emphases on comparison of the testing results and simulation results for different radiation levels.
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Roy, J. N. "Modelling of insulation characteristics of Solar Photovoltaic (SPV) modules." Solar Energy 120 (October 2015): 1–8. http://dx.doi.org/10.1016/j.solener.2015.06.036.
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Alaraj, Muhannad, Astitva Kumar, Ibrahim Alsaidan, Mohammad Rizwan, and Majid Jamil. "An Advanced and Robust Approach to Maximize Solar Photovoltaic Power Production." Sustainability 14, no. 12 (June 16, 2022): 7398. http://dx.doi.org/10.3390/su14127398.
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The stochastic and erratic behavior of solar photovoltaic (SPV) is a challenge, especially due to changing meteorological conditions. During a partially irradiated SPV system, the performance of traditional maximum power point tracking (MPPT) controllers is unsatisfactory because of multiple peaks in the Power-Voltage curve. This work is an attempt to understand the performance uncertainties of the SPV system under different shading conditions and its mitigation. Here, a novel hybrid metaheuristic algorithm is proposed for the effective and efficient tracking of power. The algorithm is inspired by the movement of grey wolves and the swarming action of birds, and is thus known as the hybrid grey wolf optimizer (HGWO). The study focuses on the transient and steady-state performance of the proposed controller during different conditions. A comparative analysis of the proposed technique with incremental conductance and a particle swarm optimizer for different configurations is presented. Thus, the results are presented based on power extracted, shading loss, convergence factor and efficiency. The proposed HGWO–MPPT is found to be better as it has a maximum efficiency of 94.30% and a minimum convergence factor of 0.20 when compared with other techniques under varying conditions for different topologies. Furthermore, a practical assessment of the proposed controller on a 6.3 kWp rooftop SPV system is also presented in the paper. Energy production is increased by 8.55% using the proposed approach to the practical system.
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Li, Guiqiang, Gang Pei, Ming Yang, and Jie Ji. "Experiment Investigation on Electrical and Thermal Performances of a Semitransparent Photovoltaic/Thermal System with Water Cooling." International Journal of Photoenergy 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/360235.
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Different from the semitransparent building integrated photovoltaic/thermal (BIPV/T) system with air cooling, the semitransparent BIPV/T system with water cooling is rare, especially based on the silicon solar cells. In this paper, a semitransparent photovoltaic/thermal system (SPV/T) with water cooling was set up, which not only would provide the electrical power and hot water, but also could attain the natural illumination for the building. The PV efficiency, thermal efficiency, and exergy analysis were all adopted to illustrate the performance of SPV/T system. The results showed that the PV efficiency and the thermal efficiency were about 11.5% and 39.5%, respectively, on the typical sunny day. Furthermore, the PV and thermal efficiencies fit curves were made to demonstrate the SPV/T performance more comprehensively. The performance analysis indicated that the SPV/T system has a good application prospect for building.
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Ali, Amjad, Kashif Irshad, Mohammad Farhan Khan, Md Moinul Hossain, Ibrahim N. A. Al-Duais, and Muhammad Zeeshan Malik. "Artificial Intelligence and Bio-Inspired Soft Computing-Based Maximum Power Plant Tracking for a Solar Photovoltaic System under Non-Uniform Solar Irradiance Shading Conditions—A Review." Sustainability 13, no. 19 (September 23, 2021): 10575. http://dx.doi.org/10.3390/su131910575.
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Substantial progress in solar photovoltaic (SPV) dissemination in grid-connected and standalone power generation systems has been witnessed during the last two decades. However, weather intermittency has a non-linear characteristic impact on solar photovoltaic output, which can cause considerable loss in the system’s overall output. To overcome these inevitable losses and optimize the SPV output, maximum power point tracking (MPPT) is mounted in the middle of the power electronics converters and SPV to achieve the maximum output with better precision from the SPV system under intermittent weather conditions. As MPPT is considered an essential part of the SPV system, up to now, many researchers have developed numerous MPPT techniques, each with unique features. A Google Scholar survey from 2015–2021 was performed to scrutinize the number of published review papers in this area. An online search established that on different MPPT techniques, overall, 100 review articles were published; out of these 100, seven reviews on conventional MPPT techniques under shading or partial shading and only four under non-uniform solar irradiance are published. Unfortunately, no dedicated review article has explicitly focused on soft computing MPPT (SC-MPPT) techniques. Therefore, a comprehensive review of articles on SC-MPPT techniques is desirable, in which almost all the familiar SC-MPPT techniques have to be summarized in one piece. This review article concentrates explicitly on soft computing-based MPPT techniques under non-uniform irradiance conditions along with their operating principles, block/flow diagram. It will not only be helpful for academics and researchers to provide a future direction in SC-MPPT optimization research, but also help the field engineers to select the appropriate SC-MPPT for SPV according to system design and environmental conditions.
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Liu, Zhong Bao, Bao Hong Wang, and Shuang Yang. "Experimental Investigation of a Solar Photovoltaic DC Refrigerator with Cold Storage." Advanced Materials Research 550-553 (July 2012): 3103–7. http://dx.doi.org/10.4028/www.scientific.net/amr.550-553.3103.
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This paper carried out comparative experimental investigation to test the operation performances of a solar photovoltaic(SPV) direct current(DC) refrigerator using a phase change material(PCM)、a photovoltaic DC refrigerator without PCM and a conventional household one. The solar photovoltaic DC refrigerator with PCM has many advantages on start-stop frequency of the compressor、operation ratio and heat insulation time during the motor stopped. Furthermore, the system is powered by solar energy completely without consuming any grid electricity for running, and is " the green household electric appliance” on real significance, that especially suitable for remote mountains and nomadic areas of fresh food and medical supplies of vaccine, etc.
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Kumar, L. Ashok, C. N. Lakshmiprasad, G. Ramaraj, and G. Sivasurya. "Design, simulation of different configurations and life-cycle cost analysis of solar photovoltaic–water-pumping system for agriculture applications: use cases and implementation issues." Clean Energy 6, no. 2 (April 1, 2022): 1100–1117. http://dx.doi.org/10.1093/ce/zkac018.
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Abstract Water is an essential resource for agriculture and the majority of land is irrigated through borewells or wells. The power requirement for an irrigation pump motor is fed by the on-grid power supply but the availability of electricity in rural areas is still questionable. With rising concerns about global warming and the rise in carbon footprints, it is necessary to choose clean and green energy, thereby attaining self-sustainable life. India receives yearly a mean solar irradiation of 6.5 kWh/m2day. Hence, a solar photovoltaic–water-pumping system (SPV–WPS) is a suitable alternative to grid energy; thereby, the farmers would generate electricity through the solar photovoltaic system and become self-sufficient in their energy needs. In this paper, two different agricultural fields in Tamil Nadu, India that deploy flood irrigation and drip irrigation are taken as a case study. The paper discusses the concerns on the use of grid power and their carbon footprint, design and simulation of 4- and 5.5-kW SPV–WPSs using PVsyst 7.1.1, and the advantages of using SPV–WPSs and life-cycle cost analysis on different use cases. The Government of India has introduced a special scheme to promote the installation of SPV–WPSs by offering attractive incentives through PM-Kisan Urja Suraksha evam Utthaan Mahabhiyan (KUSUM) yojana. The results of the case study show that with the use of SPV–WPSs, either with or without subsidy, the farmer could gain a minimum of 250% on the investment with a project lifetime of 25 years.
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Mohamedy Ali, Mohamed Hussein, Mahmoud Mohammed Sayed Mohamed, Ninet Mohamed Ahmed, and Mohamed Bayoumy Abdelkader Zahran. "Comparison between P&O and SSO techniques based MPPT algorithm for photovoltaic systems." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 1 (February 1, 2022): 32. http://dx.doi.org/10.11591/ijece.v12i1.pp32-40.
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Solar photovoltaic (SPV) systems are a renewable source of energy that are environmentally friendly and recyclable nature. When the solar panel is connected directly to the load, the power delivered to the load is not the optimal power. It is therefore important to obtain maximum power from SPV systems for enhancing efficiency. Various maximum power point tracking (MPPT) techniques of SPV systems were proposed. Traditional MPPT techniques are commonly limited to uniform weather conditions. This paper presents a study of MPPT for photovoltaic (PV) systems. The study includes a discussion of different MPPT techniques and performs comparison for the performance of the two MPPT techniques, the P&O algorithm, and salp swarm optimization (SSO) algorithm. MATLAB simulations are performed under step changes in irradiation. The results of SSO show that the search time of maximum power point (MPP) is significantly decreased and the MPP is obtained in the shortest time with high accuracy and minimum oscillations in the generated power when compared with P&O.
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Mohamed, S., P. Jeyanthy, D. Devaraj, M. Shwehdi, and Adel Aldalbahi. "DC-Link Voltage Control of a Grid-Connected Solar Photovoltaic System for Fault Ride-Through Capability Enhancement." Applied Sciences 9, no. 5 (March 6, 2019): 952. http://dx.doi.org/10.3390/app9050952.
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The high penetration level of solar photovoltaic (SPV) generation systems imposes a major challenge to the secure operation of power systems. SPV generation systems are connected to the power grid via power converters. During a fault on the grid side; overvoltage can occur at the direct current link (DCL) due to the power imbalance between the SPV and the grid sides. Subsequently; the SPV inverter is disconnected; which reduces the grid reliability. DC-link voltage control is an important task during low voltage ride-through (LVRT) for SPV generation systems. By properly controlling the power converters; we can enhance the LVRT capability of a grid-connected SPV system according to the grid code (GC) requirements. This study proposes a novel DCL voltage control scheme for a DC–DC converter to enhance the LVRT capability of the two-stage grid-connected SPV system. The control scheme includes a “control without maximum power point tracking (MPPT)” controller; which is activated when the DCL voltage exceeds its nominal value; otherwise, the MPPT control is activated. Compared to the existing LVRT schemes the proposed method is economical as it is achieved by connecting the proposed controller to the existing MPPT controller without additional hardware or changes in the software. In this approach, although the SPV system will not operate at the maximum power point and the inverter will not face any over current challenge it can still provide reactive power support in response to a grid fault. A comprehensive simulation was carried out to verify the effectiveness of the proposed control scheme for enhancing the LVRT capability and stability margin of an interconnected SPV generation system under symmetrical and asymmetrical grid faults.
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Suresh, P., and G. Vijayakumar. "Shunt Active Power Filter with Solar Photovoltaic System for Long-Term Harmonic Mitigation." Journal of Circuits, Systems and Computers 29, no. 05 (July 31, 2019): 2050081. http://dx.doi.org/10.1142/s0218126620500814.
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This paper proposes a shunt Active Power Filter (APF), supported by Solar Photovoltaic (SPV) system for a grid-connected application that improves power quality. The reference signal for the shunt APF is obtained from the adaptive Proportional Integrative Derivatives (PID), based on an algorithm of Least Mean Eighth (LME) with Unit Vector Template (UVT). The LME algorithm distinguishes the basic weight sections from load currents and estimates the three phase reference source current. These reference currents are used to generate a gate signal for the shunt APF. The DC-link voltage regulator is used to keep the constant DC-link voltage of the shunt APF with an APID controller. To reduce present distortions of electric power distribution systems, a design of a suitable controller is conducted using an intelligent computational technique for predicting the right reference signals. The SPV scheme is designed to obtain the highest energy output from the SPV panel with the maximum power point tracking algorithm (MPPT) scheme and is connected to the power grid. For long-term harmonic mitigation, the SPV system continuously maintains the DC-link of the shunt APF. Mathematically, the presented current reference signal generation scheme is examined and digital simulation outcomes are displayed under distinct steady and dynamic state conditions. Lastly, the complete scheme is validated by using the hardware prototype.
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Lee, Hye-Jeong, Sung-Yoon Huh, and Seung-Hoon Yoo. "Social Preferences for Small-Scale Solar Photovoltaic Power Plants in South Korea: A Choice Experiment Study." Sustainability 10, no. 10 (October 9, 2018): 3589. http://dx.doi.org/10.3390/su10103589.
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To reduce greenhouse gas emissions, the South Korean government plans to expand the installation of small-scale solar photovoltaic (SPV) power plants, which do not occupy large spaces and have a smaller environmental impact than large-scale SPV power plants. This article applies a choice experiment to evaluate quantitatively the value given by people to the attributes of the installation of small-scale SPV power plants. To reflect the preference heterogeneity of South Korean people, a Bayesian estimation of a mixed-logit model is successfully performed. According to the results, South Korean people consider the electricity bill, the operating body, and the installation location as being more important than other attributes. The respondents prefer small-scale SPV power plants that are located in residential areas, have a large scale of installation, are operated by a private corporation and produce electricity for self-consumption. For these attributes, the South Korean people are willing to pay an additional electricity bill of South Korean won (KRW) 4286/month, KRW 3712/kW, KRW 2885/month and KRW 3731/month, respectively. The results provide meaningful implications regarding the aspects of installation on which the government should focus. In addition, the results can be utilized in policy making and decision making related to the installation of small-scale SPV power plants.
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Bhargavi, B., and P. Linga Reddy. "Improvement of Solar Energy System Under Partial Shading Conditions in Koneru Lakshmaiah Education Foundation." International Journal of Engineering & Technology 7, no. 1.8 (February 9, 2018): 197. http://dx.doi.org/10.14419/ijet.v7i1.8.16401.
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This paper consists of grid connected Solar photovoltaic (SPV) system. An output of SPV depends on the irradiation and temperature. Sometimes PV module is shaded due to nearby buildings, passing clouds etc. Power extracted from such partially shaded PV array is reduced. . The PV system at KLEF deemed to be university is considered. Total Harmonic Distortion (THD) and the output powers are computed using Matlab/Simulink using LC filter .These are compared with the actual values measured from the existing system . It is found that percentage of THD is reduced.
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Almughram, Ohoud, Sami Ben Slama, and Bassam Zafar. "Model for Managing the Integration of a Vehicle-to-Home Unit into an Intelligent Home Energy Management System." Sensors 22, no. 21 (October 24, 2022): 8142. http://dx.doi.org/10.3390/s22218142.
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Integration of vehicle-to-home (V2H) centralized photovoltaic (HCPV) systems is a requested and potentially fruitful research topic for both industry and academia. Renewable energy sources, such as wind turbines and solar photovoltaic panels, alleviate energy deficits. Furthermore, energy storage technologies, such as batteries, thermal, and electric vehicles, are indispensable. Consequently, in this article, we examine the impact of solar photovoltaic (SPV), microgrid (MG) storage, and an electric vehicle (EV) on maximum sun radiation hours. As a result, an HCPV scheduling algorithm is developed and applied to maximize energy sustainability in a smart home (SH). The suggested algorithm can manage energy demand between the MG and SPV systems, as well as the EV as a mobile storage system. The model is based on several limitations to meet households’ electrical needs during sunny and cloudy weather. A multi-agent system (MAS) is undertaken to ensure proper system operation and meet the power requirements of various devices. An experimental database for weather and appliances is deployed to evaluate and control energy consumption and production cost parameters. The obtained results illustrate the benefits of V2H technology as a prospective unit storage solution.
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Pazhanimurugan, Rajamanickam, Ramaiyan Bensraj, and Chinnapettai Ramalingam Balamurugan. "Dynamic response investigation of PV based CLCIS fed IMD applications using HC and SMC." Bulletin of Electrical Engineering and Informatics 11, no. 2 (April 1, 2022): 691–701. http://dx.doi.org/10.11591/eei.v11i2.3394.
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This paper explains a solar photovoltaic (SPV) based cascaded landsman converter inverter structure (CLCIS) which feeds induction motor drive (IMD) using hysteresis controller (HC) and sliding mode controller (SMC). The aim is to create SPV based cascaded landsman converter (CLC) with an enhanced dynamic response. HC and SMC enabled systems are designed and created using MATLAB. The standards of procedure and simulation results are examined. The simulation results of HC and SMC enabled systems are analyzed concerning time-domain parameters and a comparison has been exhibited. The proposed SMC ensures a model reference robust dynamics against changing voltage conditions of photovoltaic (PV) based CLCIS fed IMD system. The consequences reveal that the dynamic response with SMC is better compared to the HC enabled CLCIS-IMD system.
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Devaraj, P., and E. Haribabu. "Culture of Science and Science Policy Making: A Qualitative Study of Solar Photovoltaic (spv) Technology Development in India." Perspectives on Global Development and Technology 16, no. 6 (December 6, 2017): 615–44. http://dx.doi.org/10.1163/15691497-12341453.
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Abstract Employing Mode 2 science perspective, the present study attempts to understand the interaction of culture of science and science policy making in Solar Photovoltaic (spv) research and technology development in India. Despite an early start, India has been lacking in the process of development and deployment of spv technologies since the 1960s. The study explores the factors that affected the spv research and technology development programmes in India. Using in-depth and semi-structured interviews, data were collected from scientists located in different academic and R&D institutions engaged in production of application oriented knowledge. The study points out that over time the conditions of spv research have been mediated by the problematic construction of public policy making in the area of energy. Unimaginative and half-hearted approach to policy making contributed to discontinuous production of knowledge and made spv technology and industrial development insignificant. This kind of ambience produced multiple effects like little or no interaction between academia-industry interaction, and crisis in the production of scientific knowledge, alienation of scientific community. The study concludes that spv science and technology development was considered at one stage as inappropriate to the Indian context for various reasons, and consequently failed to develop the strategic and commercial area of research like silicon.
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Rushdi, Hussam, and Fawzi Al-Naima. "COOT OPTIMIZATION ALGORITHM FOR PARAMETER ESTIMATION OF PHOTOVOLTAIC MODEL." MEST Journal 10, no. 2 (July 15, 2022): 177–85. http://dx.doi.org/10.12709/mest.10.10.02.16.
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Because of the technical and environmental advantages of many solar energy sources, their use has recently been rapidly rising. The extraction of the unknown parameters in photovoltaic models is one of the key challenges in the modeling and simulation of solar energy sources. To satisfy the behavior of the solar photovoltaic (SPV) cells, the Single-Diode Model (SDM) is recommended as a more dependable modeling method. In this study, we applied the recently introduced meta-heuristic optimization method that inspires the behavior of the swarm of birds called Coot. This Coot Algorithm is used to estimate the unknown parameters of an SPV cell/module at 33 ºC. Simulation results of this study were compared with other nine different previous Optimization Algorithms, which are Moth Flame Optimization (MFO), Dragonfly Algorithm (DA), Whale Optimization Algorithm (WOA), Grey Wolf Optimization (GWO), Ant Lion Optimization (ALO), Harris Hawk Optimization (HHO), Hybrid of Particle Swarm Optimization and Grey Wolf Optimization (PSOGWO), Marine Predator Algorithm (MPA), and African Vultures Optimization Algorithm (AVOA). The obtained results of this comparison showed that the Coot algorithm outperformed the previous algorithms in terms of the root mean square error (RMSE) and the degree of convergence between the power versus voltage curve and the current versus voltage curve compared with the measured data. Moreover, the results confirm that the Coot optimization algorithm is favorable in reducing time and improving accuracy.
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Wankhade, Harshal K. "Comparative Analysis of various Water Pumping Systems." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 30, 2021): 4855–62. http://dx.doi.org/10.22214/ijraset.2021.35986.
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India is a country which is rewarded with a huge amount of solar energy that varies between 2000 hours to 3000 hours yearly. Solar photovoltaic (SPV) based water pumping is the most appreciated application of solar energy. This paper gives information of various solar photovoltaic (PV) based water pumping systems (WPS) with advantages, issues and more prominent solar PV based WPS driven by a special machine with factors affecting whole system performance. For power conditioning in WPS, the power electronics based DC-DC converters, DC-AC converters, microprocessor and microcontroller are used. The Landsman converter permits excellent tracking of solar radiation using maximum power point tracker (MPPT) with changing insolation levels. This paper gives review on the comparative analysis of different motors used based on reliability, maintenance, and cost-effectiveness. Due to systematic operation emphasis is given to the Brushless DC motor.
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Morawala, Khevan. "Solar Panel Automated Cleaning Using Water Re-Capture and Re-Circulation System." International Journal for Research in Applied Science and Engineering Technology 10, no. 12 (December 31, 2022): 2081–89. http://dx.doi.org/10.22214/ijraset.2022.48379.
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Abstract: Sun photovoltaic (SPV) module energy output is closely correlated with solar accessible irradiance, spectral content, and other factors including environmental and climatic factors. It is normal for dust from the outside environment to collect on solar photovoltaic (PV) system panels. Physical factors like rain, dirt, dust, snow, etc. can lower a solar panel's overall efficiency. So maintaining a clean solar panel is crucial. The performance of solar panels can be negatively impacted by collected dust, according to research, however, the results were not measured. This study's goal was to investigate how dust build-up affects the efficiency of solar PV panels. To test the electrical output and efficiency of solar panels, experiments were carried out utilizing dust particles on solar panels with a constant-power light source. The efficiency and resultant electrical power generated revealed it. According to the study, the effectiveness of a photovoltaic solar panel might be reduced by up to 30% by dust build-up on its surface. Therefore, it is crucial to clean the solar panel of any dust. We may clean the solar panels and improve their effectiveness by using the wiper on the water pump's base.
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Janamala, Varaprasad, and K. Radha Rani. "Optimal allocation of solar photovoltaic distributed generation in electrical distribution networks using Archimedes optimization algorithm." Clean Energy 6, no. 2 (March 5, 2022): 1036–52. http://dx.doi.org/10.1093/ce/zkac010.
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Abstract This paper proposes to resolve optimal solar photovoltaic (SPV) system locations and sizes in electrical distribution networks using a novel Archimedes optimization algorithm (AOA) inspired by physical principles in order to minimize network dependence and greenhouse gas (GHG) emissions to the greatest extent possible. Loss sensitivity factors are used to predefine the search space for sites, and AOA is used to identify the optimal locations and sizes of SPV systems for reducing grid dependence and GHG emissions from conventional power plants. Experiments with composite agriculture loads on a practical Indian 22-bus agricultural feeder, a 28-bus rural feeder and an IEEE 85-bus feeder demonstrated the critical nature of optimally distributed SPV systems for minimizing grid reliance and reducing GHG emissions from conventional energy sources. Additionally, the voltage profile of the network has been enhanced, resulting in significant reductions in distribution losses. The results of AOA were compared to those of several other nature-inspired heuristic algorithms previously published in the literature, and it was observed that AOA outperformed them in terms of convergence and redundancy when solving complex, non-linear and multivariable optimization problems. Optimal solar photovoltaic system locations and sizes in electrical distribution networks are derived using a novel Archimedes optimization algorithm in order to minimize network dependence and pollutant emissions to the greatest extent possible.
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Dinakaran, C., and Dr T. Padmavathi. "Seven Level Symmetric Cascaded H-Bridge Multilevel Inverter for Solar Photovoltaic System." EAI Endorsed Transactions on Energy Web 9, no. 5 (February 16, 2023): e3. http://dx.doi.org/10.4108/ew.v9i5.3045.
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Among different types of Non-Conventional Energy Sources, Solar Power has become highly prominent with exhausting suitable to innovation in Power Electronic Systems. The primary intention of the advised performance must limit the number of switches to enhance the output waveforms with a preferred harmonic profile. This topology moderates the estimate about switches, isolated DC origin, expenditure, and intensity of the circuit substantially as correlated to other topologies. The proposed method uses the MPPT approach to exploit the maximum energy from solar photovoltaic to load entirely. The Proposed method provides almost sinusoidal output waveforms by developing a few power switches. The SPV arrangement was simulated and constitution through SPV arrays, a DC-DC buck converter, and a sliding mode MPPT regulation. Based on the cascaded H-Bridge multilevel converters, The strong constraint enforced confined DC voltage sources considering separately Cascaded H-Bridge. This constitution converter worth along with diminishing the constancy based on the system. The system gives boosting voltages with improves the harmonic profile. Performance of the arrangement demonstrated in MATLAB SIMULINK as well as PROTEUS.
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Kumar, Devineni Gireesh, Aman Ganesh, Nagineni Venkata Sireesha, Sainadh Singh Kshatri, Sachin Mishra, Naveen Kumar Sharma, Mohit Bajaj, Hossam Kotb, Ahmad H. Milyani, and Abdullah Ahmed Azhari. "Performance Analysis of an Optimized Asymmetric Multilevel Inverter on Grid Connected SPV System." Energies 15, no. 20 (October 17, 2022): 7665. http://dx.doi.org/10.3390/en15207665.
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The purpose of this research is to develop an efficient single-phase grid-connected PV system using a better performing asymmetrical multilevel inverter (AMI). Circuit component reduction, harmonic reduction, and grid integration are critical criteria for better inverter efficiency. The proposed inverter’s optimized topology requires seven unidirectional switches, three symmetric dc sources, and three diodes to produce an asymmetric fifteen level output; whereas, the same configuration will generate 7, 11, and 15-level output with an appropriate choice of dc source magnitudes. It is possible to reduce inverter losses and boost efficiency by decreasing the number of switches used. The integration of an asymmetric 15-level inverter with a grid-connected solar photovoltaic system is discussed in this article. A grid-connected solar photovoltaic (GCSPV) system is modelled and simulated using an asymmetric 15-level inverter. The dc sources of the 15-level inverter are replaced with PV sources. The results were analyzed with different operating temperatures and solar irradiance conditions. The GCSPV system is controlled by a closed-loop control system using Particle Swarm Optimization (PSO), Harris Hawk Optimization (HHO), and Hybrid Particle Swarm Optimization-Genetic Algorithm (PSOGA) based Proportional plus Integral (PI) controllers. Grid voltage, grid current, grid power, and total harmonic distortion (THD) of grid currents were analyzed. The performance of the 15-level asymmetric inverter was evaluated by comparing the THD of the grid current and the efficiency of the grid-connected photovoltaic system.
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Gangopadhyay, Utpal, Sukhendu Jana, and Sayan Das. "State of Art of Solar Photovoltaic Technology." Conference Papers in Energy 2013 (May 30, 2013): 1–9. http://dx.doi.org/10.1155/2013/764132.
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Solar electricity is more expensive than that produced by traditional sources. But over the past two decades, the cost gap has been closing. Solar photovoltaic (SPV) technology has emerged as a useful power source of applications such as lightning, meeting the electricity needs of villages, hospitals, telecommunications, and houses. The long and increasing dominance of crystalline silicon in photovoltaic (PV) market is perhaps surprising given the wide variety of materials capable of producing the photovoltaic effect. PV based on silicon wafers has captured more than 90% market share because it is more reliable and generally more efficient than competing technologies. The crystalline silicon PV is reliable as far as long term stability in real field but it is not economically viable due to starting material silicon itself costly. But still, research continues on developing a diverse set of alternative photovoltaic technology. Now PV technology is being increasingly recognized as a part of the solution to the growing energy challenge and an essential component of future global energy production. In this paper, we give a brief review about PV technology particularly crystalline silicon PV including the world and Indian PV scenarios.
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Veerabhadra and S. Nagaraja Rao. "Assessment of high-gain quadratic boost converter with hybrid-based maximum power point tracking technique for solar photovoltaic systems." Clean Energy 6, no. 4 (July 25, 2022): 632–45. http://dx.doi.org/10.1093/ce/zkac041.
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Abstract Solar photovoltaic (SPV) modules have a low output voltage and are load-dependent. Therefore, it is critical that the SPV system has an adequate DC–DC converter to regulate and improve the output voltage to get maximum output voltage. To meet load requirements, the voltage must be increased, necessitating the use of energy-efficient power electronic converters. The performance of an SPV system coupled to a high-gain quadratic boost converter (HG-QBC) with a load is investigated in this paper. The suggested HG-QBC for the SPV system at a lower value of duty ratio provides high voltage gain with a boost factor of four times. An analytical comparison is carried out with the various existing boost converters in terms of the components and the boost factor. The issue of locating the maximum power generation point from the SPV system is crucial. As a result, choosing an appropriate maximum power point tracker (MPPT)-based technique to obtain the peak power output of the SPV system under the rapidly varying atmospheric conditions is vital. To determine the highest output power of an SPV system, a hybrid-based MPPT with a neural network assisted by a perturb and observe (P&O) technique is proposed. For the HG-QBC, a comparison of the proposed MPPT with a traditional P&O-based MPPT is illustrated. The comparative analysis takes into account rise time, settling time and voltage ripples. The output voltage and power characteristics of the proposed model are analysed under constant and varying irradiation conditions using MATLAB®/Simulink®. The results of a hybrid-based MPPT show that the oscillations are minimum at the maximum power point with fewer ripples of 0.20% and a settling time of 1.2 s in comparison with the other two techniques.
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Mohammad, Khan, Mohmmad Ahmad, Shoeb Azam Farooqui, Wajid Ali, and Farha Khan. "Performance evaluation of a PMDC motor with battery storage control and MPPT based solar photovoltaic system." International Journal of Power Electronics and Drive Systems (IJPEDS) 13, no. 3 (September 1, 2022): 1704. http://dx.doi.org/10.11591/ijpeds.v13.i3.pp1704-1712.
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This paper analyzes and demonstrates the performance of a solar photovoltaic (SPV)-fed permanent magnet DC (PMDC) motor under various operating conditions. In this configuration, a 5HP PMDC is coupled to a SPV system and a boost converter has been interfaced between them to regulate the DC output voltage acquired from the SPV system. The switching pulse to the converter has been provided by the maximum power point tracking (MPPT) controller (P&O and INC) in order to acquire maximum and desired power across the DC link with varying irradiance. A battery energy storage system (BESS) is often used in association with this configuration caused by the non-linear nature of the SPV system and to overcome the volatility of the DC connection affected by environmental effects. For this purpose, a double loop PI controller is analyzed, and examined the DC link. Additionally, the operation of bidirectional DC-DC converter in buck and boost mode during battery charging and discharging is also performed. This operation ensures maintaining a constant and continuous power across the DC link to regulate the PMDC motor consistently. A comparison of results has also been presented for both incremental and conductance (INC) and P&O controllers. The mathematical modeling of configuration has been performed in MATLAB/Simulink software. The results and key findings have been tabulated and even elaborated graphically.
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Bharat, Manish, ASR Murty, and Ritesh Dash. "Design and analysis of trans Z-source inverter for electric vehicle applications using neural network-clustering." Bulletin of Electrical Engineering and Informatics 12, no. 3 (June 1, 2023): 1783–96. http://dx.doi.org/10.11591/eei.v12i3.4818.
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The presented paper analyzes the detailed design of a trans Z-source inverter (ZSI) with an input from solar photovoltaic (SPV) system. Increase in SPV uses requires highly efficient SPV enabled inverters under varying weather parameters are in high demand in modern smart grid applications. The SPV-trans ZSI has high conversion efficiency because of the single-stage voltage boost conversion capability. In contradiction, the conventional voltage source inverter (VSI) requires an additional step-up transformer to boost the output voltage of inverter. This reduces the efficiency by increasing the volume of set up and also increase the cost of the system. In the proposed SPV system it provides a better output against VSI. The increase in inverter output voltage is because of shoot through time period present in ZSI. It also reduces the voltage stress and harmonics content as compared to VSI. The proposed model has been validated through MATLAB simulation.
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Jamuna, P., and S. Ramesh. "Experimental Validation of Impedance Source Network Based Active Power Filter for Interconnection of PV System into Grid." Journal of Circuits, Systems and Computers 27, no. 14 (August 23, 2018): 1850215. http://dx.doi.org/10.1142/s0218126618502158.
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This paper proposes a Solar Photovoltaic (SPV) interfaced Impedance Source Inverter (ZSI) based shunt Active Power Filter (APF) for compensation of power quality events such as current harmonics, voltage interruption and reactive power burden. The instantaneous reactive power theories with Fuzzy Logic Controller (FLC) based DC link voltage regulator is used to estimate the reference current signal and control the operation of the SPV interfaced shunt APF. Maximum Power Point Tracking (MPPT) algorithm is also employed to obtain the optimum maximum power point. The response of the SPV interfaced ZSI-shunt APF for mitigation of current harmonic distortions and reactive power compensation are investigated and compared with SPV interfaced Voltage Source Inverter (VSI) based shunt APF. The proposed SPV interfaced shunt APF employed with the FLC-based instantaneous reactive power theory control algorithm offers long lasting compensation against current-based distortions and reactive power requirements. The performance of the SPV interfaced ZSI based shunt APF has been verified by the simulation and experimental study. These results confirm the practicability of the proposed system in various load conditions with effective harmonic mitigation capability.
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Sayyad, Javed, Paresh Nasikkar, Abhaya Pal Singh, and Stepan Ozana. "Capacitive Load-Based Smart OTF for High Power Rated SPV Module." Energies 14, no. 3 (February 2, 2021): 788. http://dx.doi.org/10.3390/en14030788.
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Solar energy is the most promising renewable resource with an unbounded energy source, capable of meeting all human energy requirements. Solar Photovoltaic (SPV) is an effective approach to convert sunlight into electricity, and it has a promising future with consistently rising energy demand. In this work, we propose a smart solution of outdoor performance characterization of the SPV module utilizing a robust, lightweight, portable, and economical Outdoor Test Facility (OTF) with the Internet of Things (IoT) capability. This approach is focused on the capacitive load-based method, which offers improved accuracy and cost-effective data logging using Raspberry Pi and enables the OTF to sweep during the characterization of the SPV module automatically. A demonstration using an experimental setup is also provided in the paper to validate the proposed OTF. This paper further discusses the advantages of using the capacitive load approach over the resistive load approach. IoT’s inherent benefits empower the proposed OTF method on the backgrounds of real-time tracking, data acquisition, and analysis for outdoor output performance characterization by capturing Current–Voltage (I–V) and Power–Voltage (P–V) curves of the SPV module.
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Narendra, Ankireddy, Naik N. Venkataramana, Anup Kumar Panda, Nishit Tiwary, and Amit Kumar. "A Single-Stage SPV-Fed Reduced Switching Inverter-Based Sensorless Speed Control of IM for Water Pumping Applications." International Transactions on Electrical Energy Systems 2022 (June 25, 2022): 1–12. http://dx.doi.org/10.1155/2022/3805791.
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This article elaborates on a reduced switch count-based inverter for a single-stage solar photovoltaic (SPV) fed induction motor (IM) with sensorless speed control for water pumping applications. The traditional SPV-fed IM for water pumping applications requires a six-switch voltage source inverter (SSVSI) for transforming the DC power from the SPV system into AC power. However, the same performance is achieved using a four-switch voltage source inverter (FSVSI). Here, the entire system requires less number of switches and hence reduces switching losses and cost as compared to the traditional solar water pumping system. Moreover, the sensorless speed control is implemented using a speed estimator to reduce the overall cost further and enhance reliability. The reference voltage ( V d c r ) is achieved using an adapted incremental conductance (AINC), and the control of IM is performed using direct vector control (DVC). The control signals for the proposed system are generated using DSPACE DS-1104 for real-time implementation. The proposed SPV-fed FSVSI-based 1-HP IM operation is performed at different irradiation levels in the MATLAB-Simulink environment and validated experimentally.
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Ismaila, Z., O. A. Falode, C. J. Diji, R. A. Kazeem, O. M. Ikumapayi, M. O. Petinrin, A. A. Awonusi, et al. "Evaluation of a hybrid solar power system as a potential replacement for urban residential and medical economic activity areas in southern Nigeria." AIMS Energy 11, no. 2 (2023): 319–36. http://dx.doi.org/10.3934/energy.2023017.
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<abstract> <p>A hybrid solar power system (HSPS) is an alternate method of supplying electricity that can reduce fuel usage while maintaining power supply security. In this study, the efficiency of HSPS, which consists of Grid Supply (GS), Diesel Power Generation (DPG), Solar-Photovoltaic (SPV), and Battery Storage (BS) systems, was evaluated in two economic activity areas (EAAs) in Southern Nigeria. The cross-sectional research design was used, and the research was based on Behera's energy-led growth theory. Urban-residential and Health were the EAAs considered and chosen using a stratified random sample technique. Southern Nigerian states of Oyo and Lagos provided the samples, which were combined and used for the study. Electricity consumption was calculated using electricity load demand for the two EAAs from 2008 to 2017. For each EAA, an Integrated Renewable Energy Mini/Microgrid Model (IREMMM) based on power load demand and solar irradiation was constructed. Levelized Cost of Electricity (LCOE) (/kWh), and Net Present Cost (NPC) (M) were calculated for one hybrid configuration, SPV-DPG-BS-GS, and two standalone configurations, DPG and SPV-BS. Configurations with SPV integrated had lower LCOEs than DPGs in both EAAs. In Southern Nigeria, solar PV combinations with battery storage provided the highest performance for a hybrid power system. In the medical contexts, a hybrid power system achieves higher overall performance.</p> </abstract>
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Awan, Muhammad Mateen Afzal, Muhammad Yaqoob Javed, Aamer Bilal Asghar, Krzysztof Ejsmont, and Zia-ur-Rehman. "Economic Integration of Renewable and Conventional Power Sources—A Case Study." Energies 15, no. 6 (March 15, 2022): 2141. http://dx.doi.org/10.3390/en15062141.
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In this study, we have presented an optimal microgrid design that ensures the uninterrupted energy supply to Mirpur University of Engineering and Technology (MUST), Azad Jammu and Kashmir AJK, Pakistan at the cheapest price by using reliable energy resources. The availability of energy resources, environmental viability, and economic feasibility are the key parameters of design. The available resources for the MUST site include the National grid, Solar photovoltaic (SPV), Battery bank, and Diesel generator. The data of electrical load, solar illumination, atmospheric temperature at the university, diesel fuel cost, SPV module lifetime, SPV degradation factor, SPV efficiency, SPV cost, battery cost, battery life, national grid energy price, load shedding and toxic emissions have been considered valuables in designing the hybrid micro-grid. The difference in net present cost (NPC) of the optimal design and the worst design is calculated by considering the above parameters. The proposed optimal microgrid design supplies energy to the load using SPV, Diesel generator, and battery bank with NPC of $250,546 and the renewable fraction of 99%. Whereas the worst design includes the Diesel generator and battery bank as energy supplying sources with the NPC of $2.14 M and a renewable fraction of 0%. Simulations performed using HOMER Pro software (HOMER Energy, HOMER Pro-3.11, Boulder, CO, USA) proved that after considering all the data and requirements mentioned above, out of 979 feasible designs, the proposed hybrid microgrid design is best suitable for MUST.
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Tiwari, Mayank Kumar, Venktesh Mishra, Rahul Dev, and Nitin Singh. "Effects of Active Cooling Techniques to Improve The Overall Efficiency Of Photovoltaic Module- An Updated Review." E3S Web of Conferences 387 (2023): 01012. http://dx.doi.org/10.1051/e3sconf/202338701012.
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Our scientists have struggled for the last few decades to save the nation from the harmful emission caused by burning fossil fuel and restore enormous solar radiation energy. Despite their hard labor in this field, only 12-16% of solar radiation is converted into electrical energy. The major part of it is wastage as heat that causes to rise of panel temperature and lowers its efficiency. The aim of the review is to find out the cost-effective and efficient active cooling methods of solar photovoltaic (SPV) cell to improve their overall performance. Therefore, thirty-two active cooling techniques are thoroughly studied, compared their results from more than a hundred papers. Cooling of the SPV panel is a function of optimum spraying timing, coolant flow rate, wind condition, the distance between flow points (nozzle) to the panel, and solar radiation. The major facts revealed that the efficiency of the PV panel is optimum within 25-300C, and the panel's performance decreases by 0.5% for each 10C rise of panel temperature from standard temperature. The best active cooling method revealed that the electrical efficiency of the PV module could be increased by 57% with a lowering of module temperature by 32% in hot summer.
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Sengupta, Saheli, Aritra Ghosh, Tapas K. Mallick, Chandan Kumar Chanda, Hiranmay Saha, Indrajit Bose, Joydip Jana, and Samarjit Sengupta. "Model Based Generation Prediction of SPV Power Plant Due to Weather Stressed Soiling." Energies 14, no. 17 (August 26, 2021): 5305. http://dx.doi.org/10.3390/en14175305.
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Solar energy is going to be a major component of global energy generation. Loss due to dust deposition has raised a great concern to the investors in this field. Pre-estimation of this reduced generation and hence the economic loss will help the operators’ readiness for efficient and enhanced economic energy management of the system. In an earlier article, a physics–based model is proposed for assessment of dust accumulation under various climatic conditions which is validated by data of a single location. In this paper, the universality of this model is established and is used to demonstrate the effect of generation loss due to dust deposition and of cleaning. Variation in the soiling pattern due to climatic covariates has also been studied. Generation loss is calculated for Solar Photovoltaic power plants of different capacities at various locations in India. Finally this model has also been extended to predict the generation accounting for the soiling loss in Photovoltaic system. All the calculated and predicted results are validated with the measured values of the above plants.
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Bhattacharjee, Bidrohi, Pradip Sadhu, Ankur Ganguly, and Ashok Naskar. "Integrated green submersible pumping system for future generation." Facta universitatis - series: Electronics and Energetics 34, no. 1 (2021): 37–51. http://dx.doi.org/10.2298/fuee2101037b.
Full textAbstract:
In the system solar power has been used for cultivation. Solar photovoltaic cells convert solar energy into electricity through solar photovoltaic (SPV) effect. Generated DC voltage then converted in to AC voltage by pump controller, this AC voltage is used as the input of Variable Frequency Drive (VFD). The VFD acts as a motor controller that controls the submersible pump motor by varying the frequency and voltage of its input power supply. The VFD is associated with pump controller. Regulated three phase AC voltage is the output of the pump controller which is directly connected with submersible pump. The water thus drawn from bore wells by a solar water pump is pumped to supply for irrigation purpose as required. This system is full off-grid interfaced system appropriate for the village areas. The main goal of this system is to use solar energy at a minimum running cost. The solar powered project is completely eco friendly and the plant is relatively clean with small maintenance. This project helps to reduce the cost of electricity, as well as minimize the overall agricultural cost.
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Saravanan, G., and C. Karthikeyan. "Machine learning-based secure data analyzing for FPGA-based solar PV FED speed control of brushless DC motor using versatile threshold optimization technique." International Journal of Wavelets, Multiresolution and Information Processing 18, no. 01 (August 30, 2019): 1941022. http://dx.doi.org/10.1142/s0219691319410224.
Full textAbstract:
The predicted global energy emergency expected shortly is due to the fast exhaustion of conventional fossil non-renewable energy source assets and reliably decreasing expenses of solar photovoltaic (SPV) modules. This photovoltaic (PV) power conversion stage prompts an expanded cost, size, unpredictability and diminished effectiveness for automotive applications. As an advanced system, the solar PV fed brushless direct current motor (BLDCM) is being used for most of the automotive applications. A primary control method fit for working the solar PV array at its peak power utilizes a conventional voltage source inverter (VSI) to control proposed fractional order BLDCM chaos control utilizing versatile threshold optimization (VTO) algorithm. The SPV is used as primary sources while the battery as reinforcement. The proposed control takes out the BLDCM phase using current control techniques. No extra power is related to the speed control of BLDCM and its fine start. The suitability of proposed framework is shown through its execution assessment utilizing MATLAB2017a programming in light of the simulated results and experimental approval on a created model, under practical operating conditions. Execution of the proposed FPGA-based control drive of BLDC motor is likewise researched through experimental test setup utilizing SPARTAN-6 FPGA, the run-time data are analyzed through IOT network using Adaptive Least Square Regression. The proposed system simulation result is justified by the hardware result.
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Muthuvel, K., and M. Vijayakumar. "Solar PV Sustained Quasi Z-Source Network-Based Unified Power Quality Conditioner for Enhancement of Power Quality." Energies 13, no. 10 (May 24, 2020): 2657. http://dx.doi.org/10.3390/en13102657.
Full textAbstract:
In this article, a Quasi Z-source inverter (QZSI)-based unified power quality conditioner (UPQC) backed by the solar photovoltaic (SPV) is presented in order to enhance power quality. The UPQC consists of converters connected in parallel and series. The active power filters (APFs) connected in parallel and series is one of the versatile custom power circuitries to reduce current and voltage instabilities. The main functions of QZSI can increase the variable direct current (DC) voltage to any given alternating current (AC) output voltage, reduce the necessary elements, and alleviate harmonic content. The UPQC’s compensation function primarily relies on the control system used for the generation of reference current and voltage. The enhanced second order generalized integrator (ESOGI) is used in this proposed system to extract the reference current of QZSI-UPQC. The proposed UPQC uses the SPV system, which has an energy storage unit to offset long-term current and voltage disruptions and fulfill the active power demands of the grid. The experimental results confirm that the proposed SPV-supported QZSI-UPQC generates sinusoidal grid currents of about 1.2% of total harmonic distortion (THD), thus increasing the power efficiency of the interconnected SPV power distribution network.