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Journal articles on the topic 'Wind and solar generations'

Author: Grafiati
Published: 4 July 2023

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1

Prajapati, Urvashi, Deepika Chauhan, and Md Asif Iqbal. "Hybrid Solar Wind Power Generation." International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (April 30, 2018): 1533–37. http://dx.doi.org/10.31142/ijtsrd11359.

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2

Xu, Nan, Shan Shan Li, and Hao Ming Liu. "Distribution System Fault Recovery with Undispatchable Distributed Generations." Applied Mechanics and Materials 529 (June 2014): 455–59. http://dx.doi.org/10.4028/www.scientific.net/amm.529.455.

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Considering the probabilistic of the wind power and the solar power, a fault recovery method for distribution systems with the wind power and the solar power is presented in this paper. For the wind power, a simplified steady-state equivalent model of an asynchronous wind generator is added into the Jacobian matrix to consider the impact of the wind power on systems. For the solar power, its output is considered as an injected power which is related with solar irradiance. Three-point estimate is employed to solve the probabilistic power flow of distribution systems with the wind power and the solar power. The restoration is described as a multi-objective problem with the mean of the system loss and the number of switch operations. Fast elitist non-dominated sorting partheno-genetic algorithm is used to solve this multi-objective problem. IEEE 33-bus system is used as an example and the results show that the models and algorithms in this paper are efficient.
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Reddy, D. C. K., S. S. Narayana, and V. Ganesh. "Performance of DQ Based Controller for Solar Wind Hybrid Power System." Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering) 12, no. 2 (February 28, 2019): 96–104. http://dx.doi.org/10.2174/2352096511666180514111606.

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Background: This paper presents a compensation technique to improve the efficiency of a microgrid (MG) in the distribution system. Methods: A Direct-Quadrature (D-Q) based compensation technique is proposed to mitigate the power quality issues in Microgrid on the load side. The proposed model is used to control and balance the power generation to load demand in MG under different loading conditions. Renewable Energy Source (RES) Photovoltaic (PV) and Wind based generations are considered as two micro generations and are integrated with the conventional power system. Result: The proposed model can be used as plug and play mode operation of MG. Conclusion: The performance of proposed compensation techniques is analyzed in the MATLAB / Simulink environment and the simulation results exhibit satisfactory controller action.
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Abedi, Sajjad, Gholam Hossein Riahy, Seyed Hossein Hosseinian, and Arash Alimardani. "Risk-Constrained Unit Commitment of Power System Incorporating PV and Wind Farms." ISRN Renewable Energy 2011 (December 19, 2011): 1–8. http://dx.doi.org/10.5402/2011/309496.

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Wind and solar (photovoltaic) power generations have rapidly evolved over the recent decades. Efficient and reliable planning of power system with significant penetration of these resources brings challenges due to their fluctuating and uncertain characteristics. In this paper, incorporation of both PV and wind units in the unit commitment of power system is investigated and a risk-constrained solution to this problem is presented. Considering the contribution of PV and wind units, the aim is to determine the start-up/shut-down status as well as the amount of generating power for all thermal units at minimum operating cost during the scheduling horizon, subject to the system and unit operational constraints. Using the probabilistic method of confidence interval, the uncertainties associated with wind and PV generation are modeled by analyzing the error in the forecasted wind speed and solar irradiation data. Differential evolution algorithm is proposed to solve the two-stage mixed-integer nonlinear optimization problem. Numerical results indicate that with indeterminate information about the wind and PV generation, a reliable day-ahead scheduling of other units is achieved by considering the estimated dependable generation of PV and wind units.
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Zhao, Yao, Ru Qi Cheng, Geng Shen Zhao, and Zhi Hua Zha. "Power Optimal Utilization of DС Bus Micro-Grid System." Advanced Materials Research 430-432 (January 2012): 820–23. http://dx.doi.org/10.4028/www.scientific.net/amr.430-432.820.

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Multiple distributed generations construct the micro-grid system through the DC bus, each distributed generation has its own maximum power point, research on the method to improve the overall utilization of the DC bus. Discussed the micro-grid including solar photovoltaic and wind power generations, built the mathematical model of the two generations, used simulation methods to get the power output curve, proposed the improved MPPT method for the DC bus to obtain maximum power. Through micro-grid experimental platform, verify the method is effective to improve the energy utilization efficiency of the DC bus.
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6

Yadev, Rajkumar, and Mr Mayank Sharma. "Hybrid Power Generation System Using Solar -Wind Energy: A Review." International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (April 30, 2018): 941–46. http://dx.doi.org/10.31142/ijtsrd11115.

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7

Izadbakhsh, Maziar, Alireza Rezvani, and Majid Gandomkar. "Improvement of Microgrid Dynamic Performance under Fault Circumstances using ANFIS for Fast Varying Solar Radiation and Fuzzy Logic Controller for Wind System." Archives of Electrical Engineering 63, no. 4 (December 11, 2014): 551–78. http://dx.doi.org/10.2478/aee-2014-0038.

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Abstract The microgrid (MG) technology integrates distributed generations, energy storage elements and loads. In this paper, dynamic performance enhancement of an MG consisting of wind turbine was investigated using permanent magnet synchronous generation (PMSG), photovoltaic (PV), microturbine generation (MTG) systems and flywheel under different circumstances. In order to maximize the output of solar arrays, maximum power point tracking (MPPT) technique was used by an adaptive neuro-fuzzy inference system (ANFIS); also, control of turbine output power in high speed winds was achieved using pitch angle control technic by fuzzy logic. For tracking the maximum point, the proposed ANFIS was trained by the optimum values. The simulation results showed that the ANFIS controller of grid-connected mode could easily meet the load demand with less fluctuation around the maximum power point. Moreover, pitch angle controller, which was based on fuzzy logic with wind speed and active power as the inputs, could have faster responses, thereby leading to flatter power curves, enhancement of the dynamic performance of wind turbine and prevention of both frazzle and mechanical damages to PMSG. The thorough wind power generation system, PV system, MTG, flywheel and power electronic converter interface were proposed by using Mat-lab/Simulink.
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8

Ajeigbe, Olusayo A., Josiah L. Munda, and Yskandar Hamam. "Optimal Allocation of Renewable Energy Hybrid Distributed Generations for Small-Signal Stability Enhancement." Energies 12, no. 24 (December 14, 2019): 4777. http://dx.doi.org/10.3390/en12244777.

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This paper solves the allocation planning problem of integrating large scale renewable energy hybrid distributed generations and capacitor banks into the distribution systems. Extraordinarily, the integration of renewable energy hybrid distributed generations such as solar photovoltaic, wind, and biomass takes into consideration the impact assessment of variable generations from PV and wind on the distribution networks’ long term dynamic voltage and small-signal stabilities. Unlike other renewable distributed generations, the variability of power from solar PV and wind generations causes small-signal instabilities if they are sub-optimally allocated in the distribution network. Hence, the variables related to small-signal stability are included and constrained in the model, unlike what is obtainable in the current works on the planning of optimal allocation of renewable distributed generations. Thus, the model is motivated to maximize the penetration of renewable powers by minimizing the net present value of total cost, which includes investment, maintenance, energy, and emission costs. Consequently, the optimization problem is formulated as a stochastic mixed integer linear program, which ensures limited convergence to optimality. Numerical results of the proposed model demonstrate a significant reduction in electricity and emission costs, enhancement of system dynamic voltage and small-signal stabilities, as well as improvement in welfare costs and environmental goodness.
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9

Quoc Dung, Phan, Phan Thi Thanh Binh, Pham Dinh Minh, Tran Minh Hung, and Nguyen Duc Hung. "The optimal generator dispatching with uncertain conditions for grid-connected microgrid." Science & Technology Development Journal - Engineering and Technology 3, no. 1 (April 9, 2020): First. http://dx.doi.org/10.32508/stdjet.v3i1.631.

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Nowadays, the penetration of wind and solar sources is relatively high in Micro Grid. Wind speed and solar radiation forecasting hardly gives an exact value and leads to the values in intervals. Therefore forecasted output powers of these sources are also in the intervals. The constraint on power balance in Micro Grid has the right-hand-side uncertainty, in the interval. So for Micro-Grid in grid connection mode, the presence of the distributed generations based on wind and solar energy sources makes optimal dispatching problems of distributed generations become an uncertainty problem. The optimal solutions for the lower and upper ends of this interval are the best and the worst optimal solution. This paper proposes to treat the above problem as the optimal problem with two objectives: reach the best and the worst solution. The principle of fuzzy set and the Particle Swarm Optimization algorithm will be applied for solving the multi-objective problem. The final optimal value will belong to an interval. Meanwhile, the output power of the swing generator varies to respond to the uncertainty of wind and solar source power. An example of a low-voltage MG with three distributed generators is considered with two cases: connecting to the utility grid via the circuit breaker and via power controller.
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10

Ghaedi, Amir, and Hamed Gorginpour. "Spinning reserve scheduling in power systems containing wind and solar generations." Electrical Engineering 103, no. 5 (March 5, 2021): 2507–26. http://dx.doi.org/10.1007/s00202-021-01239-z.

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11

Balali, Mohammad Hasan, Narjes Nouri, Mohammad Rashidi, Adel Nasiri, and Wilkistar Otieno. "A multi-predictor model to estimate solar and wind energy generations." International Journal of Energy Research 42, no. 2 (August 15, 2017): 696–706. http://dx.doi.org/10.1002/er.3853.

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12

Wataka, Masaki, Yuji Ohya, Takashi Karasudani, and Takenori Uchida. "ICOPE-15-1112 Improvement of Power Generation of the Wind Solar Tower." Proceedings of the International Conference on Power Engineering (ICOPE) 2015.12 (2015): _ICOPE—15——_ICOPE—15—. http://dx.doi.org/10.1299/jsmeicope.2015.12._icope-15-_76.

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13

Zhang, Lian Zhong, and Jing Min Li. "The Research of Composite Solar and Wind Energy Materials Generator." Advanced Materials Research 531 (June 2012): 584–88. http://dx.doi.org/10.4028/www.scientific.net/amr.531.584.

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Composite generator of solar and wind energy materials the generators， energy-saving environmental protection as a precondition to full use of green renewable energy, making wind power in weak wind conditions and strong winds can maintain normal operation of wind turbines how wind instability Under normal operation, but at higher wind speeds, the blades are not damaged? We start from the pressure-controlled device, the mechanical components and microelectronic technology combine to complete the slurry from the regulator controlled by changing the role of plasma from the body, strengthen the control of wind turbines, wind generators can adapt to changes in wind speed. In the initial wind speed easy to start; in the design of wind speed and wind speed between the initial access to higher wind energy utilization coefficient; In addition, the weak and the solar wind is sufficient,solar power can also get the power to add the function to ensure that the entire power system running smoothly, to achieve full power generation purposes.
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14

Singh, Harshit Pratap. "Scope of Solar Energy and Wind Energy in District Raebareli (Uttar Pradesh)." Indian Journal of Energy and Energy Resources 1, no. 3 (May 30, 2022): 7–8. http://dx.doi.org/10.54105/ijeer.c1004.051322.

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Renewable energy resources are the Potentials for today and for the forthcoming future of our Generations thus making the relieve from dependability of generations on the fossil fuels and making the right use of resources of what nature has given to us . Talking about the todays existing renewable energies are in the form of Solar, Wind, Tidal, Hydrothermal, Geothermal etc are various kind of sources of energies in the Renewable forms. Talking about the scope of innovations in this area it has shown a great potentials as we can know about the Technology of Decarbonisation in which carbon is been seeing as source of energy Potentials for the future. Talking about the todays worlds consumption , it is about Coal(27%) , Natural gas (24%) , Hydro energy (7%). Talking about Raebareli district in Uttar Pradesh the average Specific Photovoltaic Power Output is found to be 1495.6 kWh/kWp , Direct Normal Irradiation found to be 1190.9 kWh/m2 and Global Horizontal irradiation is found 1771.5kWh /m2.So according to these datas it can be conferred that a great scope of solar energy can be utilised in my area and also the Government has some programmes also for installing the solar Panels in thus area .
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15

PEKER, Mustafa Çağrı, and Ayşen SİVRİKAYA. "Güneş ve Rüzgar Enerjisinden Elektrik Üretiminin Gün Öncesi Piyasa Takas Fiyatlarına ve Fiyat Volatilitesine Etkisi: Türkiye Örneği." Fiscaoeconomia 7, no. 2 (May 25, 2023): 1067–100. http://dx.doi.org/10.25295/fsecon.1215578.

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Solar and wind generation are the primary tools to prevent climate change and high carbon emissions. Due to their intermittent generation characteristics, solar and wind power plants have a different impact on the market-clearing price formation compared to conventional generation sources. The paper investigates the solar and wind generation effect on the day ahead market-clearing price in Turkey between the 2016 and 2022. We used a 2nd order polynomial learner model to analyze the impact of solar and wind generation level on the market-clearing price level and volatility. We find that Dutch TTF increases market-clearing price with a coefficient of 0.24. An increase in wind and solar generation reduce the market-clearing price. Solar generation is ineffective on the market-clearing price below a certain demand level. Wind generation reduces market-clearing price with a 37.78 coefficient at low demand levels and a 6.55 coefficient at high demand levels. Solar generation has a price-reducing effect with 5.55 at high demand levels. Finally, Dutch TTF and wind generation increased volatility with coefficients of 0.04 and 0.69; solar generation reduced volatility with a coefficient of 0.83.
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16

Darsan, Herri, Dwi Prabowo, Maidi Saputra, and Murhaban Murhaban. "PERENCANAAN PEMBANGKIT LISTRIK HYBRID VAWT DAN SOLAR CELL SECARA OTOMATIS UNTUK PENERANGAN LAMPU JALAN." Jurnal Mekanova: Mekanikal, Inovasi dan Teknologi 6, no. 1 (June 9, 2020): 44. http://dx.doi.org/10.35308/jmkn.v6i1.2224.

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Road lighting is important for transportation activities, especially at night. The design of this Hybrid plant has a working principle that is utilizing wind gusts from a passing vehicle to turn the turbine blade and the heat of solar radiation that is absorbed through the solar panel with the sun tracking system. Parameter data that influence in the design of Hybrid Generations are variations in the number of turbine blades, turbine angle, wind speed, turbine drive rotor height, density of air and heat of solar radiation. The purpose of the problem in Designing Hybrid VAWT generating systems with the optimal angle of the turbine and Solar Cell automatically to be able to meet the electrical energy requirements for street lighting. The research method used in design through three stages, namely literature review, Technical Design and preparation of work tools and materials. The design results show that the optimal type u vertical wind turbine for toll road lighting with 3 blades and an optimal angle size of 90 0C, rotor diameter of 400 mm, rotor height of 1000 mm for average wind speed of 13.9 m / s. and Average solar heat of 28 0C with an average panel temperature of 55.3 0C using the Timer switch as a solar tracking system. The design of the plant, produces turbine power of 0.93 V to 1.17 V at 122 rpm to 214 rpm. And the solar panel produces a panel voltage of 19.59 V and an average voltage on the battery of 14 V. The stored electrical energy is able to light two LED lights with a power of 15 Watt and last for 12 hours / dayKeywords— Hybrid Power Generation, Optimal Angle, Timer Switch
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17

Raheem, Abdul. "Solar Wind Hybrid Power Generation System." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (July 25, 2021): 2432–38. http://dx.doi.org/10.22214/ijraset.2021.36888.

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In today’s technology as we all knows, wind and solar are the most optimistic renewable source for the production of energy. So various research is being carried out for utilization for this energy resource is the best way. The moto of this project is to produce the energy in an eco-friendly way by using renewable source of energy. A microcontroller ensure the optimum utilization of the sources and it also increases the efficiency of the combined system as compared to the individual mode of generation. It helps in decreasing the dependence on one single source and makes the system more reliable. The solar wind hybrid system can be used for both industrial and domestic applications .But in there system we use to the 3rd application which is use for the noise pollution to convert the energy system.
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18

Singh, Khushwinder, and Harinder Singh. "COST ANALYSIS OF HYBRID MODEL OF SOLAR-WIND-BIOGAS PLANT." INTERNATIONAL JOURNAL OF RESEARCH IN EDUCATION METHODOLOGY 7, no. 4 (October 30, 2016): 1248–56. http://dx.doi.org/10.24297/ijrem.v7i4.4362.

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In this paper, the power delivered by the combined system component is compared with each other and various conclusions are drawn. The various advantages and disadvantages of the system are compared, and a cost analysis of the system is carried on with the present system. The power delivered by hybrid model of PV/WIND/biogas is much higher than the PV/WIND. The system is more reliable, environmental friendly and the waste products of this sys tem do not contain any harmful gases and acids. This model uses all the renewable energy sources for electric generations which are the need of the time. With the use of energy from wind, solar, biogas plant it will help to reduce our dependency on fossil fuels. Thus, as future development of the present work, it could be very useful to set up flexible tool to model and to simplify the task of evaluating design solutions for stand-alone and distributed generation’s applications. We have proposed a model of 3KW that contains 1 KW of biogas plant, 1 KW of solar plant and 1 KW of wind plant. We have prepared a cost analysis report that indicates it is profitable to go for such model as it satisfies our current and future energy demands. Moreover the electricity generated by the proposed model is available at a very lesser rate as compared to our current electricity tariff rates.
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19

Luo, Ping, Kai Zhao, and Duo Zhang. "Small Wind-Solar Hybrid Generation Equipment Design." Applied Mechanics and Materials 389 (August 2013): 131–35. http://dx.doi.org/10.4028/www.scientific.net/amm.389.131.

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Solar energy and wind energy is the important renewable energy source, a control strategy of small wind-solar hybrid generator equipment is present based on Programmable Logical Controller (PLC). A maximum power point tracking (MPPT) control method was used to increase the efficiency of the using of wind and solar energy.
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20

Yuan, Tianze, Hua Li, and Dong Jia. "Modeling and Control Strategy of Wind-Solar Hydrogen Storage Coupled Power Generation System." Journal of Intelligent Systems and Control 1, no. 1 (October 30, 2022): 18–34. http://dx.doi.org/10.56578/jisc010103.

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Hydrogen production by wind and solar hybrid power generation is an important means to solve the strong randomness and high volatility of wind and solar power generation. In this paper, the permanent magnet direct-drive wind turbine, photovoltaic power generation unit, battery pack, and electrolyzer are assembled in the AC bus, and the mathematical model of the wind-solar hydrogen storage coupled power generation system and the simulation model in PSCAD/EMTDC are established. An energy coordination control strategy is designed. After simulation, the proposed control strategy can effectively reduce the rate of curtailment of wind and solar power, and stabilize the fluctuation of wind and solar power generation. It verifies that the established model is correct and the control strategy is effective and feasible.
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21

Bhandari, Khem Raj, and Narayan Prasad Adhikari. "Grid Integration of Solar and Solar/Wind Hybrid Mini-Grid Projects: A Case of Solar/Wind Hybrid Mini-Grid Project Implemented by AEPC." Journal of the Institute of Engineering 15, no. 3 (October 13, 2020): 42–48. http://dx.doi.org/10.3126/jie.v15i3.32004.

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Alternative Energy Promotion Center (AEPC) has been scaling up renewable energy technologies through Mini-grid power supply in Nepal’s off-grid areas in order to fulfill community electricity demands for both households and electricity-based enterprises. It is likely that, in some of the off-grid renewable energy (RE) mini-grid service areas, Nepal Electricity Authority (NEA) grid line might reach in near future. The objective of this study is to highlight success stories of solar and solar/wind mini-grids implemented by AEPC and for their longer-term sustainable operation grid integration policy of isolated mini-grid systems will require. Till the date AEPC has successfully electrified more than 20 rural communities through solar and solar/wind hybrid mini-grid systems. Some of these isolated mini-grid projects will seek grid interconnections in near future due to NEA distribution system expansion trend. When the isolated mini-grids will be connected to the national grid power network in future, the mini-grid can feed surplus electricity to the local utility grid line and will receive deficit electricity from the local utility grid system to serve the consumers connected to the local grid network. The methodology applied to this study is assessment of existing solar and solar/wind mini-grid projects, technological intervention required for grid integration, reviewing grid-connection policy of distributed renewable generations in the country and recommendation of relevant policy option for grid connection of rural mini-grids. Grid integration of isolated solar and solar/wind mini-grids will have positive impacts to the sustainability of the present isolated mini-grids, will help in retaining existing mini-grids end users, energy produced by mini-grid systems will be optimally utilized, the existing mini-grid power will contribute to stabilize weak national grid electrical parameters. The outcome of the study will recommend need of policy options as well as technological interventions in order to do grid integration of solar and solar/wind hybrid mini-grid systems in Nepal.
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22

Brahim, Regad Mohamed Sidi, M'hamed Helaimi, and Rachid Taleb. "Control of isolated microgrid based renewable energy generation using PID controller." International Journal of Applied Power Engineering (IJAPE) 10, no. 2 (June 1, 2021): 127. http://dx.doi.org/10.11591/ijape.v10.i2.pp127-134.

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<p>This paper investigates optimal PID controller tuning using particle swarm optimization for frequency control in the microgrid system. The proposed microgrid composed of renewable sources such as wind turbine generation and solar system with diesel engine generator and storage systems such as the battery, flywheel, aqua electrolyze, and fuel cell. The microgrid based on renewable energy sources faces different challenges in operation and stability due to the stochastic nature of solar radiation and wind speed that depend upon the weather conditions. Among these challenges, the frequency and power deviations are affected by the sudden unbalance between generation and load which require a suitable and adequate regulation. The principal objective of this study is to reduce the frequency and power deviation by the use of the PID controller optimized based particle swarm optimization due to its simplicity and flexibility to overcome this kind of issues. The simulation results show the better performances and robustness of the proposed controller against the disturbances in load and generations in comparison to using a genetic algorithm.</p>
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23

Mall, Urs. "Composition of the Solar Wind, Secondary Ion Generation and Pick-Up." Highlights of Astronomy 11, no. 2 (1998): 847–50. http://dx.doi.org/10.1017/s153929960001892x.

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The solar wind is an ionized gas which, as a consequence of a hot solar corona and a low fluid pressure in the interstellar space, continuously emanates from the Sun into space to define a region known as the heliosphere. Since the electrical conductivity of the solar wind is very high, diffusion of the magnetic field through the plasma is not taken into account. In this picture (the frozen-in approximation) one imagines that the solar magnetic field is dragged into the heliospheric space by the radially outflowing solar wind. The structure of the solar wind is therefore intimately related to the structure of the solar corona and the solar magnetic field. The solar wind plasma itself is composed of protons, electrons, alpha particles, and a minor fraction of heavy ions.
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24

Raut, Ankita. "Solar PV-Wind Hybrid Energy Generation System." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 30, 2021): 3593–97. http://dx.doi.org/10.22214/ijraset.2021.35733.

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Renewable energy systems area unit seemingly to become wide spread within the future thanks to adverse environmental impacts and step-up in energy prices connected with the exercise of established energy sources. Solar and wind energy resources area unit various to every different which can have the particular potential to satisfy the load quandary to a point. However, such solutions any time researched severally aren't entirely trustworthy thanks to their impact of unstable nature. During this perspective, autonomous electrical phenomenon and wind hybrid energy systems are found to be a lot of economically viable various to meet the energy demands of diverse isolated shoppers worldwide. Conservation of energy is extremely traditional these days however management of energy is extremely essential issue to figure on the idea of change to energy generation devices for continuous provide of dc storage conjointly demand of electricity is increasing day by day however accessible wattage plants aren't ready to provide electricity as per the strain wants. The main objective of the project is to supply a framework for promotion of enormous grid connected wind - solar PV hybrid system for optimum and economical utilization of transmission infrastructure and land. Project conjointly aims to encourage new technologies, ways and way-outs involving military operation of wind and solar PV plants. Battery storage could also be other to the hybrid project to cut back the variability of output power from wind solar hybrid plant, for providing higher energy output for a given capability at delivery purpose, by putting in further capability of wind and solar energy in an exceedingly wind solar hybrid plant and making certain handiness of firm power for a specific amount.
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Liu, Yang, Shidong Zhang, Lisheng Li, Shaorui Wang, Tianguang Lu, Haidong Yu, and Wenbin Liu. "A machine learning-based fault identification method for microgrids with distributed generations." Journal of Physics: Conference Series 2360, no. 1 (November 1, 2022): 012019. http://dx.doi.org/10.1088/1742-6596/2360/1/012019.

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The development of renewable energy sources such as solar and wind based on distributed generators are growing rapidly in the face of the global energy crisis. As a connection between distributed generation and the main grid, microgrids are also growing rapidly. However, due to the randomness and uncertainty of the output of the solar and wind power, as well as the bidirectional characteristic of current flow, the faults in microgrids are difficult to identify using the traditional fault detection methods. To address this problem, this paper proposes a machine learning-based fault identification method for microgrids. First, the modified K-means algorithm is implemented to cluster the voltage data. Then, FP-growth algorithm is using to extract the association rules. Third, the mini-batch gradient descent (MBGD) algorithm is using to train the fault identification model based on machine learning theory. To verify the validity of this method, a case study considering single-phase short-circuit fault and two-phase phase short-circuit fault is simulated. The method presented in this work is with a high accuracy according to the simulation results.
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YAMANE, Koji, Taichirou IKEDA, Terunao KAWAI, and Yuzuru SHIMAMOTO. "1403 Capability of Combined Utilization with Solar and Wind Turbine Generations in Inland." Proceedings of Conference of Kansai Branch 2001.76 (2001): _14–5_—_14–6_. http://dx.doi.org/10.1299/jsmekansai.2001.76._14-5_.

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27

Kumar, A. V. Pavan, Alivelu M. Parimi, and K. Uma Rao. "A Discrete PLL Based Load Frequency Control of FLC-Based PV-Wind Hybrid Power System with Real Time Data." International Journal of Power Electronics and Drive Systems (IJPEDS) 7, no. 4 (December 1, 2016): 1320. http://dx.doi.org/10.11591/ijpeds.v7.i4.pp1320-1329.

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<span lang="EN-US">The sun and wind based generation are considered to be alternate source of green power generation which can mitigate the power demand issues. As solar and wind power advancements are entrenched and the infiltration of these Renewable Energy Sources (RES) into to network is expanding dynamically, testing errand is to keep up the voltage and frequency of the power generated from RES consistent as they specifically relies upon environmental conditions. So, as to outline a legitimate control and to harness power from RES the learning of natural conditions for a specific area is fundamental. With this fundamental information of the environmental conditions, a suitable Photovoltaic and Wind power generations is selected to generate clean and green electricity. Fuzzy Logic Controller (FLC) based Maximum Power Point Tracking (MPPT) controlled boost converter are utilized for viable operation and to keep DC voltage steady at desired level. The control scheme of the inverter is intended to keep the load voltage and frequency of the AC supply at constant level regardless of progress in natural conditions and burden. A Simulink model of the proposed Hybrid system with the MPPT controlled Boost converters and Voltage regulated Inverter for stand-alone application is developed in MATLAB R2015a, Version 8.5.0. The ongoing information of Wind Speed and Solar Irradiation levels are recorded at BITS-Pilani, Hyderabad Campus utilizing climate observing framework introduced at the area the performance of the voltage regulated inverter under constant and varying linear AC load with the real time data of the solar irradiation and wind speed as input is analyzed. The investigation shows that the magnitude of load voltage and frequency of the load voltage is maintained at desired level by the proposed inverter control logic.</span>
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28

Veda Swaroop, M., and P. Linga Reddy. "Solar and Wind Power Forecasting with Optimal ARIMA Parameters." International Journal of Engineering & Technology 7, no. 1.8 (February 9, 2018): 201. http://dx.doi.org/10.14419/ijet.v7i1.8.16402.

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The solar and wind renewable energy sources are gaining popularity to encourage green energy into the power system. The cost of generation of solar and wind energy sources are decreasing and competing with conventional coal-based generation. Therefore, it is very important to integrate these renewable sources into the power system. Integrating Solar and wind energy sources require to solve the uncertainty problem. Both the solar and wind energy generation is uncertain and not controllable. In this paper, sliding window optimal ARIMA forecasting algorithm is proposed to solve the uncertainty associated with solar and wind sources. The proposed forecasting method is used on the data collected from National Renewable Energy Laboratory website.
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29

Prakash, S. Vinoth John, and P. K. Dhal. "Modelling and Analysis of Solar and Wind System Adequacy Assessment and Cost Optimization." Mathematical Modelling of Engineering Problems 8, no. 6 (December 22, 2021): 861–70. http://dx.doi.org/10.18280/mmep.080604.

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The output of wind and the solar system is not constant; it is difficult to access the adequacy of the system. The Generation model is developed for 240 MW of different generation units in the Roy Billinton Test System (RBTS). Then a multi-state wind and solar generation model is developed based on different solar radiation and wind speed to evaluate the probability of the states. In this work, the wind and solar systems are studies for separate locations with each consist of 8 MW, 18 MW, 28 MW, and 38 MW generation capacities. This wind and solar generation model are applied to Roy Billinton Test System (RBTS) to evaluate the reliability indices like Loss of Load Expectation (LOLE). Based on the development of the MATLAB program for determining reliability indices, the capacity outage probability is developed for multiple solar and wind states. Based on standard load forecasting and the Time Series Load forecasting technique, the reliability of the system is analyzed. The results reveal the variation of risk indices in the system when additional generators are incorporated into the RBTS generation system. The cost optimization for Solar and Wind system were conducted using HOMER software to obtain the levelized cost of the proposed system.
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30

Weisberg, Robert H., Yonggang Liu, Clifford R. Merz, Jyotika I. Virmani, and Lianyuan Zheng. "A Critique of Alternative Power Generation for Florida by Mechanical and Solar Means." Marine Technology Society Journal 46, no. 5 (September 1, 2012): 12–23. http://dx.doi.org/10.4031/mtsj.46.5.1.

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AbstractUsing observations of surface winds, solar radiation, ocean currents and waves collected by the University of South Florida, Coastal Ocean Monitoring and Prediction System (COMPS), augmented by other data and numerical model simulations, we address the potential for electrical power generation for Florida by harnessing the natural energy sources of wind and solar, along with ocean currents and waves. We begin by identifying what nature offers. For wind and solar, we use specifications from existing, commercially available devices to convert nature’s bounty to power-generation estimates. In the absence of mature, commercially available devices for ocean currents and waves, we draw upon physical principles to arrive at power-generation estimates for these potential sources. On the basis of what nature offers and what machinery may be capable of producing, we then make reasonable extrapolations on what these estimations may mean in a practical sense for supplying energy to society. Power generation from these naturally occurring, alternative energy sources, particularly wind and solar, may provide a means for supplementing power generation by conventional fuels but does not provide a replacement for conventional fuels.
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31

Watanabe, Koichi, Sho Fukutomi, Yuji Ohya, and Takanori Uchida. "An Ignored Wind Generates More Electricity: A Solar Updraft Tower to a Wind Solar Tower." International Journal of Photoenergy 2020 (March 11, 2020): 1–9. http://dx.doi.org/10.1155/2020/4065359.

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A solar updraft tower is one of the wind power generation plants which utilizes solar energy. The purpose of this study was to ascertain whether the tower was also able to utilize crosswind energy. Wind tunnel experiments and numerical simulations were conducted simulating the crosswind. The results showed that suctioned updraft speed in the tower was proportional to the crosswind speed, and its conversion rate depended on the tower configuration. A diffuser-shaped tower with a vortex generator achieved to produce the updraft whose speed exceeded the crosswind speed. It was due to the low pressure created by the vortex atop the tower and to the diffuser effect. The crosswind utilization enables the simple power generation device to generate electricity during the night, and the hybrid utilization of renewable energies contributes to the increasing wind energy market.
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32

Xu, Shi Min, Hua Gui Huang, Si Qiang Yu, and Peng Wang. "Numerical Wind Tunnel Simulation of Wind Loads on a Solar Photovoltaic Power Generation Station." Applied Mechanics and Materials 232 (November 2012): 252–55. http://dx.doi.org/10.4028/www.scientific.net/amm.232.252.

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Aiming at the wind load evaluation in the mechanical structure design of solar photovoltaic power generation station with sun tracking, a numerical wind tunnel model was established based on the computational fluid dynamics theory and finite element method. The 8-level wind velocity was applied in the model considering the mal-condition of reef islands and Gobi desert where the solar photovoltaic power generation station usually installed. From the numerical simulation results, the influence of elevation angle of the solar cells on the wind load was presented. To decrease the maximum wind load on the power station, the gap between solar cells was proposed as air vent in this paper, which has been adopted in a prototype machine, and more than 20% of the equipment weight has been reduced.
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33

Shafi, Imran, Harris Khan, Muhammad Siddique Farooq, Isabel de la Torre Diez, Yini Miró, Juan Castanedo Galán, and Imran Ashraf. "An Artificial Neural Network-Based Approach for Real-Time Hybrid Wind–Solar Resource Assessment and Power Estimation." Energies 16, no. 10 (May 18, 2023): 4171. http://dx.doi.org/10.3390/en16104171.

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The precise prediction of power estimates of wind–solar renewable energy sources becomes challenging due to their intermittent nature and difference in intensity between day and night. Machine-learning algorithms are non-linear mapping functions to approximate any given function from known input–output pairs and can be used for this purpose. This paper presents an artificial neural network (ANN)-based method to predict hybrid wind–solar resources and estimate power generation by correlating wind speed and solar radiation for real-time data. The proposed ANN allows optimization of the hybrid system’s operation by efficient wind and solar energy production estimation for a given set of weather conditions. The proposed model uses temperature, humidity, air pressure, solar radiation, optimum angle, and target values of known wind speeds, solar radiation, and optimum angle. A normalization function to narrow the error distribution and an iterative method with the Levenberg–Marquardt training function is used to reduce error. The experimental results show the effectiveness of the proposed approach against the existing wind, solar, or wind–solar estimation methods. It is envisaged that such an intelligent yet simplified method for predicting wind speed, solar radiation, and optimum angle, and designing wind–solar hybrid systems can improve the accuracy and efficiency of renewable energy generation.
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Nandi, Sanjoy Kumar, Mohammad Nasirul Hoque, Himangshu Ranjan Ghosh, and Swapan Kumar Roy. "Potential of Wind and Solar Electricity Generation in Bangladesh." ISRN Renewable Energy 2012 (April 4, 2012): 1–10. http://dx.doi.org/10.5402/2012/401761.

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Wind and solar energies are the alternative energy sources that can be used to supplement the conventional energy sources particularly in Bangladesh. In this work, the aim is to assess the current wind and solar energy potential in Bangladesh. The wind data for the five stations obtained from Local Government Engineering Department have been assessed, but only two of them seem to be eligible for energy production. Annual average, monthly average, and hourly average wind speeds and wind power densities were calculated from the wind data. The Weibull distribution parameters (c and k), the dominant wind directions, and the frequency distributions were also determined. Experimentally measured solar radiation data are not available over Bangladesh. Measured climatological data such as cloud cover and sunshine duration data of Bangladesh Meteorological Department from 1992 to 2001 used for the estimation of global solar radiation as they are correlated. Technoeconomic feasibility analysis is done for 100 kW grid connected wind and solar photovoltaic (PV) systems. Renewable-energy-based system will bring more environmental benefits than conventional power in terms of human health, reduction of air pollution, and decrease of noise, and so forth. However, in the above estimation, these were not considered.
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35

Kan, Hong Jun, and Lun Nong Tan. "The Influence of Wind–Solar Hybrid Generation System on Transmission Service Rate." Advanced Materials Research 1070-1072 (December 2014): 1472–76. http://dx.doi.org/10.4028/www.scientific.net/amr.1070-1072.1472.

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Wind power and solar energy have been developed rapidly during recent years. However, costs of power transmission services have been rising due to their respective instability of working, which has become a barrier restricting their developments. Wind and Solar Hybrid Generation System, a result of the combination of wind and solar energy, which is a good match in terms of resources, is an effective means to improve the reliability of power generation. In this paper, the topic of influences on price of power network transmission service caused by the combination of wind and solar energy has been discussed. Based on power changes caused by the combination of wind and solar energy, comparing different prices of power transmission service before and after this combination, pointing out that it is more economical when the wind and solar energy are combined, which has been verified through the 5 nodes system.
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36

Xie, Pu, Su Ning Zhang, Man Cao, and Rui Li. "Research on Designing and Modeling of the Hybrid Energy Power Supply System." Advanced Materials Research 805-806 (September 2013): 833–36. http://dx.doi.org/10.4028/www.scientific.net/amr.805-806.833.

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Based on traditional complementary power supply system, the actual wind-PV-diesel hybrid energy supply system comprising three energy sources, namely PV, wind and diesel generations based on dc bus is established. Each of the three energy sources is controlled so as to deliver energy at optimum efficiency. Then the designing and computing modeling of distributed sources such as wind turbines, photovoltaic array and battery is proposed. Models of wind turbines, photovoltaic array and characteristics of the battery, respectively established the mathematical model of them, and then the simulation model is respectively built by PSCAD/EMTDC. So a micro-network experiment and simulation platform is established, which can simulate any power of wind and solar power output characteristics.
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37

Tafarte, Philip, Annedore Kanngießer, Martin Dotzauer, Benedikt Meyer, Anna Grevé, and Markus Millinger. "Interaction of Electrical Energy Storage, Flexible Bioenergy Plants and System-friendly Renewables in Wind- or Solar PV-dominated Regions." Energies 13, no. 5 (March 3, 2020): 1133. http://dx.doi.org/10.3390/en13051133.

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Wind and solar PV have become the lowest-cost alternatives for power generation in many countries and are expected to dominate the renewable power supply in many regions of the world. The temporal volatility in power production from these sources leads to new challenges for a stable and secure power supply system. Possible technologies to improve the integration of wind and solar PV are electrical energy storage and the flexible power provision by bioenergy. A third option is the system-friendly layout of wind and solar PV systems and the optimized mix of wind and solar PV capacities. To assess these different options at hand, a case study was conducted covering various scenarios for a regional power supply based on a high share of wind and solar PV. State-of-the-art concepts for all the stated technologies are modelled and a numerical optimization approach is applied on temporally-resolved time series data to identify the potential role of each option and their respective interactions. Power storage was found to be most relevant in solar dominated systems, due to the diurnal generation pattern, whereas bioenergy is more suitably combined with high wind power shares due to the less regular generation pattern. System-friendly wind and solar power can reduce the need for generation capacity and flexible options by fitting generation and demand patterns better.
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38

Tryhuba, Anatoliy, Oleg Bashynsky, Ihor Garasymchuk, Oleg Gorbovy, Dariia Vilchinska, and Viktor Dubik. "Research of the variable natural potential of the wind and energy energy in the northern strip of the ukrainian carpathians." E3S Web of Conferences 154 (2020): 06002. http://dx.doi.org/10.1051/e3sconf/202015406002.

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The expediency of studying the varying potential of wind and solar energy in the northern strip of the Ukrainian Carpathians is substantiated. The technique of conducting experiments to determine the natural potential of wind and solar energy is proposed and a model for determining the relative volumes of electricity generation by wind farms and solar electrical installations is developed. Based on the conducted research, according to the Drohobych meteorological station, an energy assessment of wind and solar energy resources in the northern strip of the Ukrainian Carpathians was performed. It is substantiated that the theoretical curves of distribution of wind velocity in separate quarters of the year in the territory of the northern strip of the Ukrainian Carpathians are described by the Weibull distributions. Based on the calculations, it is established that the highest total daily solar radiation is in the summer months. Daily graphs of the relative generation of electricity by wind farms and solar electric installations have been constructed. The expediency of formation of combined systems of energy supply of objects from wind and solar energy in the northern strip of the Ukrainian Carpathians has been established. The substantiated patterns of change in the natural potential of wind and solar energy, as well as the graphs of the relative generation of electricity from them, will significantly speed up managerial decisions and improve their quality.
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39

Biswas, P., S. Das, B. Pal, P. Das, M. Sasmal, and P. Ray. "Optimization of Microgrid Operation under the Diffusion of Solar and Wind Plant with Special Attention on Environment." Journal of Physics: Conference Series 2286, no. 1 (July 1, 2022): 012016. http://dx.doi.org/10.1088/1742-6596/2286/1/012016.

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Abstract This paper introduces a priority based Fuzzy Goal Programming (FGP) method for modelling and solving of microgrids using Genetic Algorithm (GA). The microgrid consider in this article consists of conventional and nonconventional power plants, such as wind and solar power plants. To incorporate the fluctuating outputs of solar and wind plants, the objectives of the problem are fuzzily described. In this article, optimal generation cost, total losses, and environmental ill-effect of power generation under the penetration of renewable energy resources (RES) are considered. In model formulation, the membership functions associated with fuzzy goals are transformed into membership goals and introducing under- and over-deviational variables to each of them. A GA scheme is used within the structure of FGP model to achieve the aspired levels of goals based on priorities in the decision environment. Then, a sensitivity analysis with variations of priority structure is performed and then the notion of Euclidean distance function is used to identify optimal power generation decision. To prove the usefulness of the intended method, three versions of a modified IEEE 30-bus and 6-generator system with renewable power generations are counted as the test systems. The model solution is also evaluated with the solutions obtained by using other approaches.
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40

Roberts, D. Aaron, Melvyn L. Goldstein, William H. Matthaeus, and Sanjoy Ghosh. "Velocity shear generation of solar wind turbulence." Journal of Geophysical Research 97, A11 (1992): 17115. http://dx.doi.org/10.1029/92ja01144.

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41

Goyal, Sourabh, Sandeep Singla, Mayank Mahamna, Sandeep Khokher, and Dr Kesari JP. "Solar-Wind Hybrid Systems For Power Generation." International Journal of Mechanical Engineering 6, no. 5 (May 25, 2019): 14–21. http://dx.doi.org/10.14445/23488360/ijme-v6i5p103.

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42

Alaskar, Azzan, and Abdulaziz Alkuhayli. "Reliability Evaluation of Active Distribution Systems with Distributed Generations." IOP Conference Series: Earth and Environmental Science 1026, no. 1 (June 1, 2022): 012064. http://dx.doi.org/10.1088/1755-1315/1026/1/012064.

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Abstract Reliability evaluation is essential in designing, planning, operating modern power systems. System operators must operate the network securely and efficiently with minimal interruption events. With the recent advances in power electronics and control, distributed generations (DG) such as photovoltaic (PV), wind turbine, and storage systems are expected to grow in distribution networks. This high level of distributed generations penetration in the grid can increase the complexity of operating the system. This is caused by intermittent nature of solar irradiance and wind speed. This paper proposes a methodology used to assess distribution networks containing stochastic resources such as photovoltaic. This method will use the Monte Carlo simulation with a stochastic model to evaluate the distribution network’s reliability. The system and load point reliability indices such as frequency of loss of load and expected energy not to supplied will be computed in this technique. In addition, the configuration of distribution networks to improve system’s reliability to facilitate system restoration after pre-fault conditions will be assessed.
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43

Tummala, Suresh Kumar, Rakesh G, Ibrahim H. Al-Kharsan, and Praveen Kumar Shah. "Integration of solar and wind energy systems with PI and PID controller." E3S Web of Conferences 391 (2023): 01002. http://dx.doi.org/10.1051/e3sconf/202339101002.

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Because of the rising worry about global warming and the depletion of fossil fuel supplies, many individuals are looking into sustainable energy alternatives to protect the environment for future generations. Because of the situation of our deteriorating globe, eco-friendly items are more in demand than ever. The outcomes of using PI and PID controllers in solar and wind integration are compared in this research. This investigation contains a boost converter, an inverter, a converter, and three induction motors. Wind and solar energy are transformed to DC voltage, then to AC voltage via an inverter, and ultimately to a three-phase induction motor. The boost converter receives output from the wind energy conversion system (WECS). The solar output is routed to the three-phase complete converter. Sinusoidal pulse width modulation used in generating trigger pulses to the inverter. The output of the boost converter is fed into the common dc link by the three phase Sinusoidal pulse width modulation (SPWM) inverter, which converts its dc input to three phase AC output. This system's behaviour is examined using MATLAB Simulink.
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44

Hosseini Imani, Mahmood, Ettore Bompard, Pietro Colella, and Tao Huang. "Impact of Wind and Solar Generation on the Italian Zonal Electricity Price." Energies 14, no. 18 (September 16, 2021): 5858. http://dx.doi.org/10.3390/en14185858.

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This paper assesses the impact of increasing wind and solar power generation on zonal market prices in the Italian electricity market from 2015 to 2019, employing a multivariate regression model. A significant aspect to be considered is how the additional wind and solar generation brings changes in the inter-zonal export and import flows. We constructed a zonal dataset consisting of electricity price, demand, wind and solar generation, net input flow, and gas price. In the first and second steps of this study, the impact of additional wind and solar generation that is distributed across zonal borders is calculated separately based on an empirical approach. Then, the Merit Order Effect of the intermittent renewable energy sources is quantified in every six geographical zones of the Italian day-ahead market. The results generated by the multivariate regression model reveal that increasing wind and solar generation decreases the daily zonal electricity price. Therefore, the Merit Order Effect in each zonal market is confirmed. These findings also suggest that the Italian electricity market operator can reduce the National Single Price by accelerating wind and solar generation development. Moreover, these results allow to generate knowledge advantageous for decision-makers and market planners to predict the future market structure.
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45

Alessandrini, Stefano, and Tyler McCandless. "The Schaake Shuffle Technique to Combine Solar and Wind Power Probabilistic Forecasting." Energies 13, no. 10 (May 15, 2020): 2503. http://dx.doi.org/10.3390/en13102503.

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One way to mitigate the variability of wind and solar power generation is to install the corresponding plants in nearby locations. For example, in Kuwait, the facility at Shagaya Renewable Energy Park is located in a desert area with both photovoltaic panels and wind turbines that allow the continuous generation of renewable energy throughout the day. The National Center for Atmospheric Research (NCAR) has developed a system to generate probabilistic wind and solar predictions for the Shagaya facility. These predictions are based on the analog ensemble technique that post-processes the wind speed and solar irradiance predictions based on a combination of multiple models including the Weather Research and Forecasting (WRF) numerical model. The ensemble forecasts have 20 members and are generated independently at each wind and solar power production facility. Here we present a method based on the Schaake Shuffle (SS) technique to pair the ensemble members from the independent systems to obtain a unique ensemble prediction of the aggregated wind and solar generation. After reordering through the SS technique, the corresponding paired solar and wind power members can be summed to build a unique ensemble of combined generation that is statistically consistent, as verified by the presented metrics.
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46

Rekha, Rekha, and Shankaralingappa Channappa Byalihal. "Optimal allocation of solar and wind distributed generation using particle swarm optimization technique." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 1 (February 1, 2023): 229. http://dx.doi.org/10.11591/ijece.v13i1.pp229-237.

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<span lang="EN-US">Power demand in the current days is increasing more and more where the conventional power generation systems are failing to meet these power demands due to less availability of non-renewable resources. Hence, many of the researchers are working on the distributed generation (DG) by using renewable resources like wind and solar. The penetration towards wind, solar DG faced challenging situations during power generation due to uncertainty in the wind speed and solar radiation. Recent studies have predicted that the combination of both solar and wind can lead to better performance. However, the sizing and placement of DG systems is necessary to achieve efficiency otherwise the systems may lead to adverse effects in distribution networks. This paper introduced the solar DG, wind DG and hybrid (solar and wind) DG system. The particle swarm optimization technique is used to size and place the DG because of its parallel search capability. Also, the combination of wind-solar DG gives better DG sizing in the respective DG location. The voltage profile of these DG systems has shown better results for the efficient power system. In comparison to conventional DG systems, the suggested hybrid DG system is capable of minimizing power loss and maintaining voltage profile.</span>
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47

Lin, Mei, Bai Ting Xu, Dong Xiao Niu, and Chun Xiang Liu. "Feasibility Synthetic Evaluation Index Research for Autonomous Wind-Solar Power Generation System." Applied Mechanics and Materials 409-410 (September 2013): 680–83. http://dx.doi.org/10.4028/www.scientific.net/amm.409-410.680.

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The application of autonomous wind-solar power generation system will break the bottleneck of sustainable city and regional development, and it is an important method to solve the world energy crisis. Not only can solve the problem of power supply in remote mountainous areas, but also can be used in the city buildings and park areas. Therefore, the feasibility study of autonomous wind-solar power generation system is particularly necessary. Firstly, this paper has analyzed the background of wind-solar system. Moreover, the significance of evaluation index system for feasibility of autonomous wind-solar power generation system has be discussed in this paper. Secondly, the paper has constituted the comprehensive evaluation index system. In addition, the paper has discussed consistent and dimensionless processing method of evaluation index. Finally, the paper has come up with the method that determines the index weight. The paper will provide a theoretical basis for large-scale use of autonomous wind-solar power generation system.
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48

Oğuz, Yüksel, and M. Feyzi Özsoy. "Sizing, design, and installation of an isolated wind–photovoltaic hybrid power system with battery storage for laboratory general illumination in Afyonkarahisar, Turkey." Journal of Energy in Southern Africa 26, no. 4 (April 5, 2017): 70. http://dx.doi.org/10.17159/2413-3051/2016/v26i4a2113.

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power generation system of a size able to meet the electric power requirement for general illumination of the electric laboratory at Afyon Kocatepe University was dimensioned and installed. While determining the installation power of the hybrid wind–solar power generation system, the regional wind–solar energy potential and the magnitude of demanded power were the most important factors. It was decided to supply 400 W of the total 500 W of electric power required by the lamp group used for illumination of the electric laboratory from solar panels and 100 W from a wind turbine according to the wind–solar energy potential of the region and the cost analysis. For the hybrid energy-generation system that was designed and installed, by considering the data for the annual mean sunshine period and wind speed, the most suitable system components and thus the installation cost were determined. The electric power generated by the hybrid wind–solar power generation system and the electric power consumed by the laboratory illumination elements supplied with this system during one year were compared. According to the 12-month measurement results for power generation and consumption in the installed system, it was observed that the generated electric power was higher than the consumed electric power. Consequently, by not paying the total electric bill for electric power consumed by the general illumination elements, use of it for other education expenses was made possible. Besides, the installation costs in Turkey were compared with those in the countries of Denmark, Germany, Spain, and Portugal, where two important components of the dimensioned and installed hybrid wind–solar power generation system – wind and solar energy – are used effectively.
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49

Petrenko, L. D. "Renewable Energy Industry: Challenges and Development Opportunities." Ecology and Industry of Russia 25, no. 11 (November 16, 2021): 66–71. http://dx.doi.org/10.18412/1816-0395-2021-11-66-71.

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The development features of the renewable energy industry in solar and wind generation sectors, both characterized by their high manufacturability and equipment and components export potential and their extremely low production scale have been presented. The issues in relation to the solar and wind resources efficiency, cost reduction of solar and wind generation, electricity production technologies by increased application of the international practices have been studied.
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50

Prasad Ganthia, Bibhu, K. Suriyakrishnaan, N. Prakash, J. Harinarayanan, M. Thangaraj, and Sthitprajna Mishra. "Comparative Analysis on Various Types of Energy Storage Devices for Wind Power Generation." Journal of Physics: Conference Series 2161, no. 1 (January 1, 2022): 012066. http://dx.doi.org/10.1088/1742-6596/2161/1/012066.

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Abstract Specifically for wind and photovoltaic, energy Storage is well regarded as an important tool for renewable energy. Distributed generation could also give benefits, but the position and use of wind energy are almost reciprocal to the PV system. So the needs of energy storage devices are coming into account for enhancing the power generations. This chapter gives brief idea about the conventional and flow based battery system for energy storage in power system. Here various conventional battery system compared with flow battery system for maintaining the power stabilities and power quality. The objective for this study is to find the better energy storage device which can regulate both stability and efficiency of the renewable energy system. Basically wind energy battery storage systems are depicted here with their construction, operation and usability. This paper can be effective for the researchers to study and to implement the better energy storage device in the wind or solar system to regulate the power quality. A brief comparison was highlighted in the discussion section for better analysis.
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