Journal articles: 'Maximum Power Point Technique'

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Fyali, Jibji-Bukar, and Anaya-Lara Olimpo. "Offline Photovoltaic Maximum Power Point Tracking." E3S Web of Conferences 64 (2018): 06007. http://dx.doi.org/10.1051/e3sconf/20186406007.

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As more renewable energy sources are connected to the electrical grid, it has become important that these sources participate in providing system support. It has become needful for grid-connected solar photovoltaics to participate in support functions like frequency support. However, photovoltaic systems need to implement a maximum power tracking algorithm to operate at maximum power and a method for de-loading photovoltaic systems is necessary for participation in frequency support. Some conventional maximum power tracking techniques are implemented in real time and will not adjust their output fast enough to provide system support while other may respond fast but are not very efficient in tracking the maximum power point of a photovoltaic system. This paper presents an offline method to estimate the maximum power voltage and current based on the characteristics of the photovoltaics module available in the datasheet and using the estimated values to operate the photovoltaics at maximum power. The performance of this technique is compared to the conventional technique. This paper also describes how the photovoltaic system can be de-loaded.

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Ramkumar, P. V., R. S. Mishra, and Aman Khurana. "Variation in Maximum Power and Maximum Power point with different parameter analysis." INTERNATIONAL JOURNAL OF ADVANCED PRODUCTION AND INDUSTRIAL ENGINEERING 3, no. 1 (January 25, 2018): 33–35. http://dx.doi.org/10.35121/ijapie201801128.

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Variation in Maximum power and Maximum power point i.e. voltage at which Maximum Power is observed with different parameters are studied. Parameters are insolation, temperature, series resistance, shunt resistance, and reverse saturation current of the diode. For this I-V and P-V characteristics with a variation of these parameters are analyzed. For finding out the Maximum PowerPoint, Perturb & Observe technique is used. Variation in these points is different with each parameter. All simulation work is done in MATLAB.

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Cabral Cavalcanti, Marcelo, Kleber Carneiro de Oliveira, Gustavo Medeiros de Souza Azevedo, and Francisco de Assis dos Santos Neves. "Comparative Study Of Maximum Power Point Tracking Techniques For Photovoltaic Systems." Eletrônica de Potência 12, no. 2 (July 1, 2007): 163–71. http://dx.doi.org/10.18618/rep.2007.2.163171.

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Situmorang, Marhaposan, Kurnia Brahmana, and Takdir Tamba. "Solar Charge Controller Using Maximum Power Point Tracking Technique." Journal of Physics: Conference Series 1230 (July 2019): 012090. http://dx.doi.org/10.1088/1742-6596/1230/1/012090.

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Yatimi, Hanane, and Elhassan Aroudam. "Standalone Photovoltaic System with Maximum Power Point Tracking." International Journal of System Dynamics Applications 7, no. 3 (July 2018): 94–111. http://dx.doi.org/10.4018/ijsda.2018070105.

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In this article, on the basis of studying the mathematical model of a PV system, a maximum power point tracking (MPPT) technique with variable weather conditions is proposed. The main objective is to make a full utilization of the output power of a PV solar cell operating at the maximum power point (MPP). To achieve this goal, the incremental conductance (IC) MPPT technique is applied to an off-grid PV system under varying climatic conditions, in particular, solar irradiance and temperature that are locally measured in Northern Morocco. The output power behavior and the performance of the system using this technique have been analyzed through computer simulations to illustrate the validity of the designed method under the effect of real working conditions.

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Akki, Gangadhar Mahalingappa, and Srivani S G. "Maximum Power Point Tracking using modified Particle Swarm Optimization Technique." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (May 31, 2022): 2759–70. http://dx.doi.org/10.22214/ijraset.2022.42951.

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Abstract: Maximum power point tracking is an essential and vital technique generally applied in SPV technology under uniform and partial shading conditions. The existence of partially shaded conditions leads to the presence of several peaks on PV curves, which decrease the efficiency of conventional techniques. Hence, the proposed algorithm, which is based on the modified particle-swarm optimization (MPSO) technique, increases the output power of PV systems under such abnormal conditions and has a better performance compared to other methods. The proposed method is examined under several scenarios for partial shading condition and non-uniform irradiation levels using Matlab and to investigate its effectiveness adequately. The experimental results show that the proposed method can decrease the interference of the local maximum power-point to cause the PV system to operate at a global maximum power-point. The efficiency of the MPSO is achieved with the least number of steady-state oscillations under partial shading conditions as compared with the other methods. Keywords: Photovoltaic(PV), Particle Swarm Optimization(PSO), Modified Particle Swarm Optimization(MPSO), Partial shading condition(PSC), Velocity step function.

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Hendrawati, Dwiana, Adi Soeprijanto, and Mochamad Ashari. "High Performance Maximum Power Point Tracking on Wind Energy Conversion System." International Journal of Power Electronics and Drive Systems (IJPEDS) 8, no. 3 (September 1, 2017): 1359. http://dx.doi.org/10.11591/ijpeds.v8.i3.pp1359-1367.

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This paper presents the maximum power point tracking (MPPT) to extract the power of wind energy conversion system (WECS) using the Firefly Algorithm (FA) algorithm. This paper aims to present the FA as one of the accurate algorithms in MPPT techniques. Recently, researchers tend to apply the MPPT digital technique with the P n O algorithm to track MPP. On the other hand, this Paper implements the FA included in the digital classification to improve the performance of the MPPT technique. Therefore, the FA tracking results are verified with P n O to show the accuracy of the MPPT algorithm. The results obtained show that performance is higher when using the FA algorithm

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Bagade, Mr P. D. "Maximum Power Point Tracking Using Indirect Adaptive Control Algorithm and Comparison with Other MPPT Technique." International Journal for Research in Applied Science and Engineering Technology 9, no. 8 (August 31, 2021): 1091–97. http://dx.doi.org/10.22214/ijraset.2021.37501.

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Abstract: Solar photovoltaic (PV) systems, which generate electricity regarded to be a renewable energy source, have great potential. Compared with the traditional power resources, they develop increasingly swiftly. However, the issue is that the environment varies depending upon on generation of Solar panels. The fundamental problem with a PV system is that, according to varied conditions (i.e., irradiance, ambient temperature, etc.), the quantity of energy that photovoltaic systems generate varies. The continued monitoring of the maximum power point (MPP) is needed to maximize the output of a PV system. In this paper, the maximum power point tracking technique (MPPTS) for a photovoltaic system to retrieve the maximum power from the solar arrays in adverse conditions, including changes in irradiation and temperature on the Voltage-current and Voltage-power characteristics of the photovoltaic array modulus is proposed. An indirect adaptive control technique and evaluated with various maximum power point tracking techniques is also stated. Keywords: photovoltaic, maximum power point, maximum power point tracking, indirect adaptive control.

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Touhami, Ghaitaoui, Laribi Sliman, Arama Fatima Zohra, Harrouz Abdelkader, and Drici Khalil. "Extraction of Maximum Power of Organic Photovoltaic Generator Using MPPT Technique." Applied Mechanics and Materials 905 (February 15, 2022): 1–6. http://dx.doi.org/10.4028/p-75cf24.

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The amount of energy generated by an Organic Photovoltaic (OPV) system depends mainly on the following.Such as solar temperatures and irradiations. Depending on the high cost and low efficiency of an organic photovoltaic system, it can be operated at the maximum power point (MPPT) that changes with solar radiation, temperature or load variations. This work presents an improved algorithm for tracking the maximum power point (MPPT) of a OPV system under real climatic conditions. The proposed MPPT is based on the perturbation and observation (P&O) strategy and the variable pitch method which controls the load voltage to ensure optimum operating points of a OPV system.

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Slimi, Mohammed, Abdelkrim Boucheta, and Bousmaha Bouchiba. "Maximum power control for photovoltaic system using intelligent strategies." International Journal of Power Electronics and Drive Systems (IJPEDS) 10, no. 1 (March 1, 2019): 423. http://dx.doi.org/10.11591/ijpeds.v10.i1.pp423-432.

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The power supplied by photovoltaic DC–DC converter is affected by two factors, sun irradiance and temperature. Therefore, to improve the performance of the PV system; a mechanism to track the maximum power point (MPP) is required. Conventional maximum power point tracking approaches, such as observation and perturbation technique present some difficulties in identifying the true MPP. Therefore, intelligent systems including fuzzy logic controllers (FLC) are introduced for the maximum power point tracking system (MPPT). In this paper, we present a comparative study of the PV standalone system which is controlled by three techniques. The first one is conventional based on the observation and perturbation technique, the other are intelligent based on fuzzy logic according Mamdani and Takagi-Sugeno models. The investigations show that the fuzzy logic controllers provide the best results and Takagi-Sugeno model presents the lower overshoot value.

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Xia, Yuanye, Khaled H. Ahmed, and Barry W. Williams. "Wind Turbine Power Coefficient Analysis of a New Maximum Power Point Tracking Technique." IEEE Transactions on Industrial Electronics 60, no. 3 (March 2013): 1122–32. http://dx.doi.org/10.1109/tie.2012.2206332.

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Zakki, M. I. M., M. N. M. Hussain, I. R. Ibrahim, N. A. Ismail, and M. N. Ibrahim. "Distributed Fast Maximum Power Point Tracking Technique for Mismatched Module Application." Indonesian Journal of Electrical Engineering and Computer Science 6, no. 2 (May 1, 2017): 225. http://dx.doi.org/10.11591/ijeecs.v6.i2.pp225-232.

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This paper propose distributed fast maximum power point tracking (DFMPPT) technique to achieve maximum power point tracking (MPPT). This paper implements the algorithm in distributed MPPT (DMPPT) architecture for mismatched condition with single module, and string connection. The MPPT method uses indirect and direct MPPT method by fractional open-circuit voltage (FOCV) with incremental conductance (INC) for high-speed maximum energy harvesting. This method is proven to be fast for tracking maximum power point (MPP) which achieves the peak power less in 1.7ms via for a single module with efficiency of 99.7% compared to the recent MPPT technique to reach MPP in 1.75ms with 95.8% efficiency. While for string configuration, the efficiency of the whole system is rated by 85.583% by taking 8.675ms to reach global MPP.

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Seyedmahmoudian, Mehdi, Ben Horan, Rasoul Rahmani, Aman Maung Than Oo, and Alex Stojcevski. "Efficient Photovoltaic System Maximum Power Point Tracking Using a New Technique." Energies 9, no. 3 (March 2, 2016): 147. http://dx.doi.org/10.3390/en9030147.

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Hwang, Dong-Hyeon, and Woo-Cheol Lee. "Global Maximum Power Point Tracking Method Using Solar Voltage Search Technique." Journal of the Korean Institute of Illuminating and Electrical Installation Engineers 32, no. 3 (March 31, 2018): 66–71. http://dx.doi.org/10.5207/jieie.2018.32.3.066.

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A. Qasim, Mohammed, Naseer T. Alwan, Seepana PraveenKumar, Vladimir I. Velkin, and Ephraim Bonah Agyekum. "A New Maximum Power Point Tracking Technique for Thermoelectric Generator Modules." Inventions 6, no. 4 (November 18, 2021): 88. http://dx.doi.org/10.3390/inventions6040088.

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Thermoelectric generators (TEGs) are devices that convert heat into electricity. This paper is about the design of a Maximum Power Point Tracking (MPPT) technique for a TEG module. The module is built using 204 TEGs connected in series. It is connected to the load through a DC/DC boost converter. The MPPT technique used in this work is the Interval Type 2 Fuzzy Logic Controller (IT2FLC). To verify its performance, the IT2FLC is compared with a traditional Perturb and Observe (P&O) MPPT algorithm in the case of power and voltage response at steady state, load switching, and through various ranges of temperature differences (ΔT). The TEG module is modeled and the whole system is simulated successfully using MATLAB SIMULINK R2017a.

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Eze, Val Hyginus U., Ogechukwu N. Iloanusi, Martin C. Eze, Charles C. Osuagwu, and Qingsong Ai. "Maximum power point tracking technique based on optimized adaptive differential conductance." Cogent Engineering 4, no. 1 (January 1, 2017): 1339336. http://dx.doi.org/10.1080/23311916.2017.1339336.

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Hussein, Ala A., Abbas A. Fardoun, and Samantha S. Stephen. "An Ultrafast Maximum Power Point Tracking Technique for Optimal Battery Charging." IEEE Transactions on Sustainable Energy 8, no. 3 (July 2017): 1321–29. http://dx.doi.org/10.1109/tste.2017.2679161.

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Tajuddin, Mohammad Faridun Naim, Shahrin Md Ayob, Zainal Salam, and Mohd Sazli Saad. "Evolutionary based maximum power point tracking technique using differential evolution algorithm." Energy and Buildings 67 (December 2013): 245–52. http://dx.doi.org/10.1016/j.enbuild.2013.07.085.

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Seshi Reddy, D., G. S.S.susmitha, N. Yamini, and N. Yashwanth. "Extreme Power Point Tracking to Yield Maximum Power in Solar Grid System." International Journal of Engineering & Technology 7, no. 2.32 (May 31, 2018): 459. http://dx.doi.org/10.14419/ijet.v7i2.32.16267.

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To minimize power losses by limiting maximum feed-in power in a PV system. By this, we can get a stable powergenerationoperation. There are currently two types of charge controllers commonly used in Solar PV grid connected power system, (i) PWM (pulse width modulation) & MPPT (Maximum Power Point Tracking). Present solar inverter are not performing good yielding for wide range of irradiance and temperature. In this paper, MPPT adoption target to improve the performance when solar cell temperature varies from moderate to maximum from 450C to 750C. We used modified Perturb and Observation P&O MPPT technique, because it modifies the operating voltage or current of PV panel until we get maximum power extraction at wide range of operating conditions. Another technique opted in this paper, PWM charge controller is a good low cost solution for small capacity inverters only. In DC - DC converter switching strategy such that optimizes charge distribution between the battery bank or utility grid. In this we use only voltage sensor at PV array along with irradiance and temperature inputs and same had simulated in MATLAb2017a environment. The results obtained are satisfactory with consistant performance for wide range of temperature.

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Guerra, Maria I. S., Fábio M. Ugulino de Araújo, Mahmoud Dhimish, and Romênia G. Vieira. "Assessing Maximum Power Point Tracking Intelligent Techniques on a PV System with a Buck–Boost Converter." Energies 14, no. 22 (November 9, 2021): 7453. http://dx.doi.org/10.3390/en14227453.

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Classic and intelligent techniques aim to locate and track the maximum power point of photovoltaic (PV) systems, such as perturb and observe (P&O), fuzzy logic (FL), artificial neural networks (ANNs), and adaptive neuro-fuzzy inference systems (ANFISs). This paper proposes and compares three intelligent algorithms for maximum power point tracking (MPPT) control, specifically fuzzy, ANN, and ANFIS. The modeling of a single-diode equivalent circuit-based 3 kWp PV plant was developed and validated to achieve this purpose. Then, the MPPT techniques were designed and applied to control the buck–boost converter’s switching device of the PV plant. All three methods use the ambient conditions as input variables: solar irradiance and ambient temperature. The proposed methodology comprises the study of the dynamic response for tracking the maximum power point and the power generated of the PV systems, and it was compared to the classic P&O technique under varying ambient conditions. We observed that the intelligent techniques outperformed the classic P&O method in tracking speed, tracking accuracy, and reducing oscillation around the maximum power point (MPP). The ANN technique was the better control algorithm in energy gain, managing to recover up to 9.9% power.

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Hameed, Waleed I., Ameer L. Saleh, Baha A. Sawadi, Yasir I. A. Al-Yasir, and Raed A. Abd-Alhameed. "Maximum Power Point Tracking for Photovoltaic System by Using Fuzzy Neural Network." Inventions 4, no. 3 (June 26, 2019): 33. http://dx.doi.org/10.3390/inventions4030033.

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The electrical energy from the sun can be extracted using solar photovoltaic (PV) modules. This energy can be maximized if the connected load resistance matches that of the PV panel. In search of the optimum matching between the PV and the load resistance, the maximum power point tracking (MPPT) technique offers considerable potential. This paper aims to show how the modelling process of an efficient PV system with a DC load can be achieved using a fuzzy neural network (FNN) controller. This is applied via an innovative methodology, which senses the irradiance and temperature of the PV panel and produces an optimal value of duty ration for the boost converter to obtain the MPPT. The coefficients of this controller have been refined based upon previous data sets using the irradiance and temperature. A gradient descent algorithm is employed to improve the parameters of the FNN controller to achieve an optimal response. The validity of the PV system using the MPPT technique based on the FNN controller is further demonstrated via a series of experimental tests at different ambient conditions. The simulation results show how the MPPT technique based on the FNN controller is more effective in maintaining the optimal power values compared with conventional techniques.

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Tian, Zhi Guang, Lin Tian, Jian He, Zhen Hua Huang, Da Hai Zhang, and De Da Sun. "Maximum Power Point Tracking Based on SVR and GA." Applied Mechanics and Materials 687-691 (November 2014): 3231–34. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.3231.

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With the increasing application of Photovoltaic (PV) power system, it is important to make PV system always achieve its maximum power output, so maximum power point tracking (MPPT) technique develops. Based on Support Vector Regression (SVR) and Genetic Algorithm (GA), a novel MPPT method is proposed in this paper. The SVR model uses the solar radiation and temperature as two inputs, and uses the voltage at maximum power point (MPP) as output. Furthermore, GA is introduced to search the best parameters for SVR. Results validate the effectiveness of the proposed MPPT method.

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Grover, Ashish, and Richa Adlakha. "Inverter based implementation of maximum power point techniques." International Journal of Applied Power Engineering (IJAPE) 11, no. 3 (September 1, 2022): 229. http://dx.doi.org/10.11591/ijape.v11.i3.pp229-236.

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The utilization of renewable energy sources is being pushed by both greater environmental consciousness and expanding demand. Recently, solar photovoltaic technology has found increased use for a broader range of applications. This may be ascribed to solar energy's extensive availability as well as its long-term viability and low cost. According to the global photovoltaic (PV) industry, 594 gigawatts (GW) of PV capacity were installed in 2019, with the objective of replacing conventional source-based generating facilities. The major problem in PV production, however, is identifying the maximum power point tracking (MPPT) systems that are currently in use to compute peak output. For 1240 W PV power plants, this article compares perturb & observe MPPT approaches with incremental conductance MPPT techniques. The MATLAB Simulink program was utilized to conduct the study, which was based on many factors such as voltage, current, and output power under various weather conditions. When these MPPT algorithms are applied to solar trackers, the efficiency, reaction time, and steady-state oscillations all improve.

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Essam E. M. Mohamed, Eman Eltaher, Abdel-Raheem Youssef,. "Hybrid and Adaptive P&O Maximum Power Point Tracking Techniques for PV Generation Systems." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 6 (April 5, 2021): 1694–707. http://dx.doi.org/10.17762/turcomat.v12i6.3377.

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Maximum power point tracking (MPPT) techniques work to track the maximum power from the PV cell. A lot of conventional MPPT techniques, such as the perturb and observe (P&O), succeed in catch the maximum power point (MPP) with a good performance. However, they suffer many problems during fast varying weather conditions, where slow time response and high oscillations are dominant. Also, it is difficult to select the right direction for new steps. This article illustrates two new P&O MPPT techniques for PV generation systems. They operate on the power-voltage (P-V) curve under different weather conditions. The first is an adaptive perturb and observe (A-PO) technique, which changes the perturbation step-size adeptly to deal with the rapidly varying weather conditions. The second is a hybrid perturb and observe technique (H-PO), which uses a variable step-size according to the location of the operating point relative to the MPP. The MATLAB/SIMULINK software is used to study the truth of the proposed techniques. The results demonstrate that both techniques attain the MPP faster than the conventional techniques and at a reduced oscillation rate.

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Behera, Siddhartha, Manoj kumar Sahu, Twinkle Hazra, Rabindra Behera, Sunila Kumar Swain, Itishree Sahu, Sritam Parida, and Sarat Kumar Swain. "Computation of maximum power point tracking of PV module using modified Newton Raphson technique." International Journal of Power Electronics and Drive Systems (IJPEDS) 13, no. 4 (December 1, 2022): 2478. http://dx.doi.org/10.11591/ijpeds.v13.i4.pp2478-2487.

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The maximum power point tracking (MPPT) has been a popular terminology among those researchers who deal with one of the most available renewable energy resources called solar power. Many researchers have evolved and proposed a lot of techniques for tracking maximum power. But each technique has its pros and cons. Some techniques suffer from complexity as far as implementation is concerned, whereas other techniques lack accuracy. In current research work, it has been investigated the MPPT using Newton Raphson (NR) method, which has not yet received a good attention by researchers. After observing its limitation, this method is modified (i.e., abbreviated as modified Newton Raphson method (MNRM)) to make it suitable for extracting the maximum power from PV module. The feasibility and precision of this method depends upon accurate measurement of temperature and irradiation. By using MNRM, the presumption of initial value is close to the voltage corresponding to maximum power, so it leads faster converging to solution through a few rounds of iterations. In order to validate it, a MATLAB/Simulink model is developed and simulated. The proposed method is incorporated in PV module-fed buck converter so as to explore superior performance.

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Zhang, Gao Fei, Rui Ma, Zheng You, and Zi Chen Zhang. "A Low-Power Photovoltaic Maximum Power Point Tracking Circuit for WSNs." Key Engineering Materials 562-565 (July 2013): 1045–51. http://dx.doi.org/10.4028/www.scientific.net/kem.562-565.1045.

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Currently, most wireless sensor networks (WSNs) are powered by batteries. When energy stored in batteries is exhausted, the life of the WSNs goes to the end. The concept of energy harvesting provides a practical solution to the problem of the energy limitation. In this article, the feasibility and performance of a simple and low-cost analog solar energy harvesting circuit with the function of maximum power point tracking (MPPT) are investigated. The technique provided is based on the approximately linear relationship between the maximum power point (MPP) voltage and the open-circuit voltage of a solar panel under different irradiation levels. Several experiments have been carried out regarding the accuracy and efficiency of MPPT as well as the working process of the circuit. Results show that the maximum power point with different loads can be effectively tracked by the self-powered MPPT circuit, and in the meantime, a stable output voltage can be generated. The efficiency of energy conversion is guaranteed by a commercial off-the-shelf DC-DC chip. The detailed description of the circuit design and the comprehensive analysis of the circuit performance will provide a useful guide for the future applications.

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Hasbi Azmi, Muhammad, Siti Zaliha Mohammad Noor, and Suleiman Musa. "Fuzzy logic control based maximum power point tracking technique in standalone photovoltaic system." International Journal of Power Electronics and Drive Systems (IJPEDS) 14, no. 2 (June 1, 2023): 1110. http://dx.doi.org/10.11591/ijpeds.v14.i2.pp1110-1120.

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This study describes the development of a smart technique for tracking the highest power point on a standalone photovoltaic (SAPV) system when temperature and irradiance conditions are changing using fuzzy logic control (FLC). The PV systems comprises of a PV array, a boost converter, a controller for tracking the maximum power point, and an inverter to power the AC loads. The FLC-based maximum power point tracking (MPPT) is proposed because the technique is not complex and does not need a deep comprehension of the particular model of the system. Furthermore, the technique is efficient and fast response in tracking maximum power (MP) from the PV array. The technique overcame the limitation of the conventional MPPT technique that resulted in slow tracking of the MP and was not accurate on the optimal position of the PV array output power. The SAPV system is integrated with the sealed lead acid (SLA) battery bank as an alternative power source and makes up for power shortages by supplying energy to the load without interruption during power shortages. A system for managing the battery has been included in the system to preserve the battery's longevity by controlling the battery's charging process. The PV system is able to supply single-phase output AC voltage of 230 Vrms and has low total harmonic distortion (THD) that is suitable for home appliances. The achieved simulation results demonstrate the effectiveness of the suggested fuzzy logic controller in tracking the MPP.

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Maimun, Maimun, and Subhan Subhan. "Different Techniques of Multiple Power Point Tracking for Photovoltaic Systems." Jurnal Litek : Jurnal Listrik Telekomunikasi Elektronika 19, no. 1 (April 4, 2022): 24. http://dx.doi.org/10.30811/litek.v19i1.2887.

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Understanding in such way the maximum available power generated by the photovoltaic (PV) array varies with the weather is critical for improving system efficiency by encouraging the PV system to operate at that maximum power point (MPP). Therefore, to maintain optimum power functioning at all irradiance levels and temperatures, a Maximum Power Point Tracking (MPPT) system is necessary. MPPT methods have been developed and implemented in a number of studies. The accuracy, convergence speed, ease of hardware implementation, PV dependency, number of necessary sensors, which are significantly differ across these systems. The first technique to be introduced was a single MPPT technique. However, as it works independently, it was unable to achieve several of the required characteristics. Afterwards, the merger techniques of multiple MPPTs and the combination of both (single and multiple MPPTs’ techniques) due to integrate the benefits of each algorithm while removing their limitations. Comparing and surveying MPPT algorithms in general took a significant amount of time. Despite this, there is a limited literature examining the combination techniques towards the multiple MPPT techniques and the single one. This paper presents the work and uses MATLAB/Simulink platform to simulate it. It is based on a study that contrasts single MPPT techniques with different combinations, namely the constant voltage (CV) method, the perturb and observe (PO) method and the combination of both (CV+PO), in order to validate MPPT's better performance.

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Maimun, Maimun, and Subhan Subhan. "Different Techniques of Multiple Power Point Tracking for Photovoltaic Systems." Jurnal Litek : Jurnal Listrik Telekomunikasi Elektronika 19, no. 1 (April 4, 2022): 24. http://dx.doi.org/10.30811/litek.v19i1.2887.

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Understanding in such way the maximum available power generated by the photovoltaic (PV) array varies with the weather is critical for improving system efficiency by encouraging the PV system to operate at that maximum power point (MPP). Therefore, to maintain optimum power functioning at all irradiance levels and temperatures, a Maximum Power Point Tracking (MPPT) system is necessary. MPPT methods have been developed and implemented in a number of studies. The accuracy, convergence speed, ease of hardware implementation, PV dependency, number of necessary sensors, which are significantly differ across these systems. The first technique to be introduced was a single MPPT technique. However, as it works independently, it was unable to achieve several of the required characteristics. Afterwards, the merger techniques of multiple MPPTs and the combination of both (single and multiple MPPTs’ techniques) due to integrate the benefits of each algorithm while removing their limitations. Comparing and surveying MPPT algorithms in general took a significant amount of time. Despite this, there is a limited literature examining the combination techniques towards the multiple MPPT techniques and the single one. This paper presents the work and uses MATLAB/Simulink platform to simulate it. It is based on a study that contrasts single MPPT techniques with different combinations, namely the constant voltage (CV) method, the perturb and observe (PO) method and the combination of both (CV+PO), in order to validate MPPT's better performance.

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Badawi, Ahmed Samir, Nurul Fadzlin Hasbullah, Siti Hajar Yusoff, Aisha H. Hashim, and Alhareth Zyoud. "Novel technique for hill climbing search to reach maximum power point tracking." International Journal of Power Electronics and Drive Systems (IJPEDS) 11, no. 4 (December 1, 2020): 2019. http://dx.doi.org/10.11591/ijpeds.v11.i4.pp2019-2029.

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In this paper, a new technique has been proposed to solve the trade off common problem in hill climbing search algorithm (HCS) to reach maximum power point tracking (MPPT). The main aim of the new technique is to increase the power efficiency for the wind energy conversion system (WECS). The proposed technique has been combined the three-mode algorithm to be simpler. The novel algorithm is increasing the ability to reach the MPPT without delay. The novel algorithm shows fast tracking capability and enhanced stability under change wind speed conditions.

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Almutairi, Abdulaziz, Ahmed G. Abo-Khalil, Khairy Sayed, and Naif Albagami. "MPPT for a PV Grid-Connected System to Improve Efficiency under Partial Shading Conditions." Sustainability 12, no. 24 (December 10, 2020): 10310. http://dx.doi.org/10.3390/su122410310.

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The disadvantage of photovoltaic (PV) power generation is that output power decreases due to the presence of clouds or shade. Moreover, it can only be used when the sun is shining. Consequently, there is a need for further active research into the maximum power point tracking (MPPT) technique, which can maximize the power of solar cells. When the solar cell array is partially shaded due to the influence of clouds or buildings, the solar cell characteristic has a number of local maximum power points (LMPPs). Conventional MPPT techniques do not follow the actual maximum power point, namely, the global maximum power point (GMPP), but stay in the LMPP. Therefore, an analysis of the occurrence of multiple LMPPs due to partial shading, as well as a study on the MPPT technique that can trace GMPP, is needed. In order to overcome this obstacle, the grey wolf optimization (GWO) method is proposed in order to track the global maximum power point and to maximize the energy extraction of the PV system. In addition, opposition-based learning is integrated with the GWO to accelerate the MPPT search process and to reduce convergence time. Simultaneously, the DC link voltage is controlled to reduce sudden variations in voltage in the event of transients of solar radiation and/or temperature. Experimental tests are presented to validate the effectiveness of the proposed MPPT method during uniform irradiance and partial shading conditions. The proposed method is compared with the perturbation and observation method.

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Rout, Kshirod Kumar, Debani Prasad Mishra, Sivkumar Mishra, Gangavaram Teja Rishitha, and Surender Reddy Salkuti. "Application of fuzzy logic technique to track maximum power point in photovoltaic systems." Indonesian Journal of Electrical Engineering and Computer Science 29, no. 1 (January 1, 2022): 101. http://dx.doi.org/10.11591/ijeecs.v29.i1.pp101-109.

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The use of photovoltaic (PV) systems for generating electric power is increasing in our everyday lives but since the generated voltage and current vary non linearly it has been very difficult to trace the maximum power point (MPP) of the PV systems so to overcome with this problem many power tracking methods were introduced out of which fuzzy logic technique was found to be one of the easy and efficient maximum power point tracking (MPPT) method. In this paper, various MPPT algorithms are observed how they help in improving the efficiency of PV systems by adjusting the duty ratio of the power interface, and also understand why the fuzzy logic control (FLC) technique is preferred over other algorithms. The system was established using MATLAB/Simulink.

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Nisha, M., and M. Germin Nisha. "Optimum Tuning of Photovoltaic System Via Hybrid Maximum Power Point Tracking Technique." Intelligent Automation & Soft Computing 34, no. 2 (2022): 1399–413. http://dx.doi.org/10.32604/iasc.2022.024482.

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Ullah, Kifayat. "Photovoltaic Maximum Power Point Technique based on Incremental Conductance (InCon) Control Algorithm." International Journal for Research in Applied Science and Engineering Technology 7, no. 12 (December 31, 2019): 638–46. http://dx.doi.org/10.22214/ijraset.2019.12106.

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Al-Soeidat, Mohammad, Dylan Dah-Chuan Lu, and Jianguo Zhu. "An Analog BJT-Tuned Maximum Power Point Tracking Technique for PV Systems." IEEE Transactions on Circuits and Systems II: Express Briefs 66, no. 4 (April 2019): 637–41. http://dx.doi.org/10.1109/tcsii.2018.2865804.

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Aquib, Mohd, Sachin Jain, and Vivek Agarwal. "A Time-Based Global Maximum Power Point Tracking Technique for PV System." IEEE Transactions on Power Electronics 35, no. 1 (January 2020): 393–402. http://dx.doi.org/10.1109/tpel.2019.2915774.

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El-Helw, Hadi M., Ahmed Magdy, and Mostafa I. Marei. "A Hybrid Maximum Power Point Tracking Technique for Partially Shaded Photovoltaic Arrays." IEEE Access 5 (2017): 11900–11908. http://dx.doi.org/10.1109/access.2017.2717540.

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Louarem, S., F. Z. Kebbab, H. Salhi, and H. Nouri. "A comparative study of maximum power point tracking techniques for a photovoltaic grid-connected system." Electrical Engineering & Electromechanics, no. 4 (July 8, 2022): 27–33. http://dx.doi.org/10.20998/2074-272x.2022.4.04.

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Purpose. In recent years, the photovoltaic systems (PV) become popular due to several advantages among the renewable energy. Tracking maximum power point in PV systems is an important task and represents a challenging issue to increase their efficiency. Many different maximum power point tracking (MPPT) control methods have been proposed to adjust the peak power output and improve the generating efficiency of the PV system connected to the grid. Methods. This paper presents a Beta technique based MPPT controller to effectively track maximum power under all weather conditions. The effectiveness of this algorithm based MPPT is supplemented by a comparative study with incremental conductance (INC), particle swarm optimization (PSO), and fuzzy logic control (FLC). Results Faster MPPT, lower computational burden, and higher efficiency are the key contributions of the Beta based MPPT technique than the other three techniques.

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Kumari, J. Surya, and Ch Saibabu. "Maximum Power Point Tracking Algorithms for Grid-Connected Photovoltaic Energy Conversion System." International Journal of Power Electronics and Drive Systems (IJPEDS) 3, no. 4 (December 1, 2013): 424. http://dx.doi.org/10.11591/ijpeds.v3.i4.pp424-437.

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As the use of energy is increasing, the requirements for the quality of the supplied electrical energy are more tighten. Energy is the most basic and essential of all resources. As conventional sources of energy are rapidly depleting and the cost of energy is rising, photovoltaic energy becomes a promising alternative source. Photovoltaic (PV) generation is becoming increasingly important as a renewable source since it exhibits a great many merits such as cleanness, little maintenance and no noise. The output power of PV arrays is always changing with weather conditions, i.e., solar irradiation and atmospheric temperature. Therefore, a Maximum Power Point Tracking (MPPT) control to extract maximum power from the PV arrays at real time becomes indispensable in PV generation system. In recent years, a large number of techniques have been proposed for tracking the maximum power point (MPP). MPPT is used in photovoltaic (PV) systems to maximize the photovoltaic array output power, irrespective of the temperature and radiation conditions and of the load electrical characteristics the PV array output power is used to directly control the dc/dc converter, thus reducing the complexity of the system. The resulting system has high-efficiency. This paper presents in details comparison of most popular MPPT algorithms techniques which are Perturb & Observe algorithm(P&O) and Improved Perturb & Observe algorithm(IPO). Improved Perturb & Observe algorithm (IPO), is a very promising technique that allows the increase of efficiency and reliability of such systems. Modeling and designing a PV system with Improved Perturb & Observe algorithm (IPO) is remarkably more complex than implementing a standard MPPT technique. In this paper, Improved Perturb & Observe algorithm (IPO), system for PV arrays is proposed and analyzed.

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Kenjrawy, Hassan, Carlo Makdisie, Issam Housamo, and Hassan Haes Alhelou. "MPPT for Photovoltaic System Located in Latakia Province - Syria by Using Genetic Algorithm." Current World Environment 14, no. 1 (April 25, 2019): 170–81. http://dx.doi.org/10.12944/cwe.14.1.16.

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The use of renewable resources for energizing the modern power systems has recently increased due to its sustainability and low operating costs. Photovoltaic (PV) system appears to be a good solution due to the fact that it can be established and operated locally. However, the maximum output power of these systems is usually achieved by using the maximum sun and power point (MPP) tracking techniques. This paper suggests a novel genetic algorithm (GA)-based technique to obtain the maximum output power of practical PV system located in the Latakia province of Syria. Based on this technique, azimuth and elevation angles of solar panels located in Latakia are first determined to track maximum radiation of the sun for every day of the whole year. After that, a GA-based technique is developed to track the maximum power point corresponding to maximum radiation during the year. Simulation results in MATLAB environment demonstrate the validation and effectiveness of the proposed GA-based technique to obtain the maximum generated power of the PV system. The results of this research can be easily adopted as a database reference to design the PV control system.

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Pande, Jayshree, and Paresh Nasikkar. "A Maximum Power Point Tracking Technique for a Wind Power System Based on the Trapezoidal Rule." Energies 16, no. 6 (March 17, 2023): 2799. http://dx.doi.org/10.3390/en16062799.

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This work presents a new trapezoidal-rule-based variation of the perturb and observe algorithm to track the point with maximum power for a wind energy conversion system. The algorithm works in three steps. In the first step, the trapezoidal-rule-based division of the power curve into trapezoids of equal width is carried out. In the second step, areas of the adjacent trapezoids are compared to identify the trapezoid with the largest area. In the third step, the conventional perturb and observe algorithm is employed in the trapezoid having the largest area to capture the point of maximum power. The algorithm is simulated in MATLAB/SIMULINK to check the efficacy in capturing the maximum power. The simulation results suggest that the proposed method performs well under fluctuating wind conditions with improved yielded power. An effort to achieve simplicity for implementation and effectively track the maximum power point is made and presented.

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Abdulaziz, Sally, Galal Atlam, Gomaa Zaki, and Essam Nabil. "Cuckoo search algorithm and particle swarm optimization based maximum power point tracking techniques." Indonesian Journal of Electrical Engineering and Computer Science 26, no. 2 (May 1, 2022): 605. http://dx.doi.org/10.11591/ijeecs.v26.i2.pp605-616.

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Increasing the efficiency of photovoltaic (PV) systems is a pressing issue, and several studies have focused on the Maximum Power Point Tracking (MPPT) techniques to extract the maximum PV output power. Many MPPT techniques have been discussed in the last decade, and optimization-based MPPT techniques have shown better performance than other MPPT techniques. In this study, two optimization techniques, the cuckoo search algorithm and particle swa9rm optimization with changing inertia weight techniques are discussed and applied to a PV system to track the maximum power point. The MSX-60 PV module and boost DC-DC converter are used in this paper to simulate and model the MPPT system using MATLAB/Simulink to show which technique has the best performance under various solar irradiation scenarios. In addition, different structures of PV arrays such as series-parallel, bridge link, and total cross-tied PV structures are simulated to analyze their effect on the efficiency of MPPT processes.

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Toumi, Djaafar, Djilani Benattous, Ahmed Ibrahim, Bedida Tarek, Messaoud Zobeidi, Khelaifa Fethi, Hicham Serhoud, et al. "Maximum power point tracking of photovoltaic array using fuzzy logic control." International Journal of Power Electronics and Drive Systems (IJPEDS) 13, no. 4 (December 1, 2022): 2440. http://dx.doi.org/10.11591/ijpeds.v13.i4.pp2440-2449.

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This research introduces the simulation of photovoltaic (PV) array to track the peak point (MPPT) using fuzzy logic control. Therefore, real time simulation is performed in MATLAB/Simulink based on a PV model, boost converter and fuzzy logic-based tracker. A comparative study is carried out against perturb and observe (P&O) controller. The fuzzy logic technique based tracker can successfully track the maximum power point very fast and has precise control when compared to the P&O algorithm. The overall we conclude that the MPPT using the fuzzy logic technique takes a fast response and can improve the performance of the PV system.

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Nagadurga, T., P. V. R. L. Narasimham, and V. S. Vakula. "Global Maximum Power Point Tracking of Solar Photovoltaic Strings under Partial Shading Conditions Using Cat Swarm Optimization Technique." Sustainability 13, no. 19 (October 8, 2021): 11106. http://dx.doi.org/10.3390/su131911106.

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The power versus voltage curves of solar photovoltaic panels form several peaks under fractional (partial) shading conditions. Traditional maximum output power tracking (MPPT) techniques fail to achieve global peak power at the output terminals. The proposed Cat Swarm Optimization (CSO) method intends to apply MPPT techniques to extract the global maxima from the shaded photovoltaic systems. CSO is a robust and powerful metaheuristic swarm-based optimization technique that has received very positive feedback since its emergence. It has been used to solve a variety of optimization issues, and several variations have been developed. The CSO-based maximum power tracking technique can successfully tackle two major issues of the PV system during shading conditions, including random oscillations caused by conventional tracking techniques and power loss. The proposed techniques have been extensively used in comparison to conventional algorithms like the Perturb and the Observe (P and O) technique. The main objective is to achieve a tracking speed for extracting the Maximum Power Point (MPP) from the solar Photovoltaic (PV) system under fractional shading conditions by using CSO. Modeling of the solar photovoltaic array in the MATLAB/Simulink platform comprises a photovoltaic module, a switching converter (Boost Converter), and the load. The PSO and CSO techniques are applied to the PV module under different weather conditions. The PSO algorithm is compared to the CSO algorithm according to simulation results, revealing that the CSO algorithm can provide better accuracy and a faster tracking speed.

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Mhiri, Nesrine, Abdulrahman Alahdal, Hamza Ghulman, and Anis Ammous. "A Novel Analog Circuit Design for Maximum Power Point Tracking of Photovoltaic Panels." Advances in Power Electronics 2017 (September 25, 2017): 1–9. http://dx.doi.org/10.1155/2017/9409801.

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A new analog technique is proposed in order to track the maximum power point (MPP) of PV panels. The proposed technique uses the well-known simple functions of electronic circuits. The proposed technique is validated by applying it to boost based off grid PV system. The simulation of the PV system was done on the circuit oriented simulator Proteus-ISIS. A good efficiency of the analog technique (more than 98%) was registered. The variation of irradiation was introduced in order to study the robustness of the proposed analog MPPT technique.

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Atia, Doaa M., and Hanaa T. El-madany. "VHDL Based Maximum Power Point Tracking of Photovoltaic Using Fuzzy Logic Control." International Journal of Electrical and Computer Engineering (IJECE) 7, no. 6 (December 1, 2017): 3454. http://dx.doi.org/10.11591/ijece.v7i6.pp3454-3466.

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It is important to have an efficient maximum power point tracking (MPPT) technique to increase the photovoltaic (PV) generation system output efficiency. This paper presents a design of MPPT techniques for PV module to increase its efficiency. Perturb and Observe method (P&O), incremental conductance method (IC), and Fuzzy logic controller (FLC) techniques are designed to be used for MPPT. Also FLC is built using MATLAB/ SIMULINK and compared with the FLC toolbox existed in the MATLAB library. FLC does not need knowledge of the exact model of the system so it is easy to implement. A comparison between different techniques shows the effectiveness of the fuzzy logic controller techniques. Finally, the proposed FLC is built in very high speed integrated circuit description language (VHDL). The simulation results obtained with ISE Design Suite 14.6 software show a satisfactory performance with a good agreement compared to obtained values from MATLAB/SIMULINK. The good tracking efficiency and rapid response to environmental parameters changes are adopted by the simulation results.

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Elahi, Muqaddas, Hafiz Muhammad Ashraf, and Chul-Hwan Kim. "An Improved Partial Shading Detection Strategy Based on Chimp Optimization Algorithm to Find Global Maximum Power Point of Solar Array System." Energies 15, no. 4 (February 19, 2022): 1549. http://dx.doi.org/10.3390/en15041549.

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A PV system’s operation highly depends on weather conditions. In case of varying irradiances or load changes, there is a power mismatch between various modules of the PV array. This power mismatch causes instability in the output of the PV system and deteriorates the overall system efficiency. To overcome instability and lower efficiency problems, and to extract maximum power from the PV system, various maximum power point tracking (MPPT) techniques are employed. The success of these techniques depends on the identification of the actual operating conditions of the system. This article proposes a hybrid maximum power point tracking (MPPT) technique that is capable of efficiently differentiating between uniform irradiance, non-uniform irradiance, and load variations on the PV system. Based on the identified operating conditions, the proposed method uses modified perturb and observe (Modified P&O) to cope with uniform irradiance variations and chimp optimization algorithms (ChOA) for non-uniform conditions to track the oscillation free maximum power-point. The proposed method is implemented and verified using a 4 × 3 PV array model in MATLAB Simulink software. Different cases of uniformly changing irradiance and non-uniformly changing irradiance are applied to test the performance of the proposed hybrid technique. The load varying conditions are performed by applying a variable load resistor. The authenticity of the proposed hybrid technique is critically evaluated against the well-known and most widely used optimization techniques of modified perturb and observe (Modified P&O), particle swarm optimization (PSO), flower pollination algorithm (FPA), and grey wolf optimization (GWO). The results demonstrate the superiority of the proposed technique in oscillation-free tracking of global maximum power point (GMPP) in a minimum tracking time of 0.4 s and 0.15 s, and steady-state MPPT efficiency of 96.92% and 99.54% under uniform and non-uniform irradiance conditions, respectively.

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Tian, Ai-Qing, Shu-Chuan Chu, Jeng-Shyang Pan, and Yongquan Liang. "A Novel Pigeon-Inspired Optimization Based MPPT Technique for PV Systems." Processes 8, no. 3 (March 20, 2020): 356. http://dx.doi.org/10.3390/pr8030356.

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The conventional maximum power point tracking (MPPT) method fails in partially shaded conditions, because multiple peaks may appear on the power–voltage characteristic curve. The Pigeon-Inspired Optimization (PIO) algorithm is a new type of meta-heuristic algorithm. Aiming at this situation, this paper proposes a new type of algorithm that combines a new pigeon population algorithm named Parallel and Compact Pigeon-Inspired Optimization (PCPIO) with MPPT, which can solve the problem that MPPT cannot reach the near global maximum power point. This hybrid algorithm is fast, stable, and capable of globally optimizing the maximum power point tracking algorithm. Therefore, the purpose of this article is to study the performance of two optimization techniques. The two algorithms are Particle Swarm Algorithm (PSO) and improved pigeon algorithm. This paper first studies the mechanism of multi-peak output characteristics of photovoltaic arrays in complex environments, and then proposes a multi-peak MPPT algorithm based on a combination of an improved pigeon population algorithm and an incremental conductivity method. The improved pigeon algorithm is used to quickly locate near the maximum power point, and then the variable step size incremental method INC (incremental conductance) is used to accurately locate the maximum power point. A simulation was performed on Matlab/Simulink platform. The results prove that the method can achieve fast and accurate optimization under complex environmental conditions, effectively reduce power oscillations, enhance system stability, and achieve better control results.

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Vicente, Eduardo Moreira, Robson Luiz Moreno, and Enio Roberto Ribeiro. "MPPT Technique Based on Current and Temperature Measurements." International Journal of Photoenergy 2015 (2015): 1–9. http://dx.doi.org/10.1155/2015/242745.

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This paper presents a new maximum power point tracking (MPPT) method based on the measurement of temperature and short-circuit current, in a simple and efficient approach. These measurements, which can precisely define the maximum power point (MPP), have not been used together in other existing techniques. The temperature is measured with a low cost sensor and the solar irradiance is estimated through the relationship of the measured short-circuit current and its reference. Fast tracking speed and stable steady-state operation are advantages of this technique, which presents higher performance when compared to other well-known techniques.

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Fathabadi, Hassan. "Maximum mechanical power extraction from wind turbines using novel proposed high accuracy single-sensor-based maximum power point tracking technique." Energy 113 (October 2016): 1219–30. http://dx.doi.org/10.1016/j.energy.2016.07.081.

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Journal articles on the topic 'Maximum Power Point Technique'

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