Journal articles: 'Photovoltaic power generation'

1

BABA, YASUSHI. "Photovoltaic power generation.Large-scale photovoltanic power generation system." Journal of the Institute of Electrical Engineers of Japan 115, no. 4 (1995): 227–30. http://dx.doi.org/10.1541/ieejjournal.115.227.

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Shah, A., J. Meier, R. Tscharner, and N. Wyrsch. "Photovoltaic power generation." Plasma Physics and Controlled Fusion 34, no. 13 (December 1, 1992): 1837–44. http://dx.doi.org/10.1088/0741-3335/34/13/012.

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Schwartz, R. J. "Photovoltaic power generation." Proceedings of the IEEE 81, no. 3 (March 1993): 355–64. http://dx.doi.org/10.1109/5.241492.

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Wei, Zhonghui, Xueqian Fu, Feifei Yang, and Shaoqian Fan. "Comprehensive Economic Benefits Evaluation Model of Greenhouse Photovoltaic." Journal of Solar Energy Research Updates 9 (August 17, 2022): 27–37. http://dx.doi.org/10.31875/2410-2199.2022.09.04.

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Abstract: Photovoltaic integrated greenhouse has become an important form of deep coupling between new energy power generation and facility agriculture. Greenhouse photovoltaic power generation will affect the light environment, thermal environment, and water environment of facility agriculture. The precise coupling modeling method of greenhouse photovoltaics and loads is to carry out the basis for the calculation of comprehensive economic benefits of greenhouse photovoltaics. This paper studies the deep coupling modeling method of greenhouse photovoltaic and greenhouse load, and accurately calculates the changes in the light environment, thermal environment, and water environment regulation load of facility agriculture caused by the laying of greenhouse photovoltaics. Firstly, the greenhouse photovoltaic power generation model and the environmental regulation load model of facility agriculture are established; secondly, the coupling relationship between greenhouse photovoltaic power generation and facility agricultural load is described, and on this basis, the comprehensive economic benefits evaluation model of photovoltaic power generation is proposed. The 10kV medium-voltage distribution network and facility agricultural greenhouse that exist in the northern region are used as the research objects. It verifies the validity of the photovoltaic comprehensive economic benefits evaluation model proposed in this paper.

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Liu, Wenrui. "Key technologies for photovoltaic power generation." Highlights in Science, Engineering and Technology 43 (April 14, 2023): 74–83. http://dx.doi.org/10.54097/hset.v43i.7407.

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In the face of the increasingly serious energy and environmental problems in the world, it is imperative to develop renewable energy, including photovoltaic power generation. The fact that photovoltaics is still in their infancy suggests that they have a lot of potential. Wide-ranging potential for solar power generation opens up a lot of room for the advancement of photovoltaic technology and industrial growth. Solar energy is mainly used for photovoltaic power generation system (PV system). Its main components are solar cells, batteries, controllers and inverters. Solar cells and MPPT technology are the two main structure in PV system. The development of solar photovoltaic power generation is the premise of the development of photovoltaic technology, because he is an important element of photoelectric conversion, which is related to the energy conversion of the entire system. MPPT voltage is a very critical parameter in the design of photovoltaic power plants. In this article, advantages and disadvantages of four different types of solar cells and their improvement methods will be exponded, while the MPPT technology starts from the traditional algorithm and the intelligent algorithm, with the introduction of several different algorithms. The final prospect of the two key technologies is given at the end of this paper.

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Zhang, Jiaying, and Yingfan Zhang. "Forecast of photovoltaic power generation based on DBSCAN." E3S Web of Conferences 236 (2021): 02016. http://dx.doi.org/10.1051/e3sconf/202123602016.

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The power output of the photovoltaic power generation has prominent intermittent fluctuation characteristics. Large-scale photovoltaic power generation access will bring a specific impact on the safe and stable operation of the power grid. With the increase in the proportion of renewable energy sources such as wind power and photovoltaics, the phenomenon of wind abandonment and light abandonment has further increased. The photovoltaic power generation prediction is one of the critical technologies to solve this problem. It is of outstanding academic and application value to research photovoltaic power generation prediction methods and systems. Therefore, accurately carrying out the power forecast of photovoltaic power plants has become a research hot point in recent years. It is favored by scholars at home and abroad. First, this paper builds a simulation model of the photovoltaic cell based on known theoretical knowledge. Then it uses the density clustering algorithm (DBSCAN) in the clustering algorithm and classifies the original data. Finally, according to a series of problems such as the slow modeling speed of photovoltaic short-term power prediction, the bidirectional LSTM photovoltaic power prediction model, and CNN-GRU photovoltaic power prediction model based on clustering algorithm are proposed. After comparing the two models, it is concluded that the bidirectional LSTM prediction model is more accurate.

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TOMITA, TAKASHI. "Photovoltaic power generation.Peripheral technology of photovoltaic power generation." Journal of the Institute of Electrical Engineers of Japan 115, no. 4 (1995): 220–22. http://dx.doi.org/10.1541/ieejjournal.115.220.

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INOUE, Yasumi. "Photovoltaic Power Generation System." Journal of the Society of Mechanical Engineers 106, no. 1015 (2003): ii,430–431. http://dx.doi.org/10.1299/jsmemag.106.1015_ii_430.

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Keswani, Vinay, and Dr Arun K. Mitra. "Power Quality Improvement in Distributed Generation using DSTATCOM and Photovoltaic Power Controller." International Journal of Innovative Research in Computer Science & Technology 7, no. 6 (November 2019): 153–57. http://dx.doi.org/10.21276/ijircst.2019.7.6.3.

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Silaev, Michael M. "Power Quality Improvement in Distributed Generation using DSTATCOM and Photovoltaic Power Controller." International Journal of Innovative Research in Computer Science & Technology 8, no. 1 (January 2020): 1–5. http://dx.doi.org/10.21276/ijircst.2020.8.1.1.

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Kudzanayi Chiteka, Rajesh Arora, and Christopher C. Enweremadu. "Comparative Numerical Energy and Performance Analysis of Solar Photovoltaic and Solar Thermal Power Generation." Journal of Advanced Research in Fluid Mechanics and Thermal Sciences 117, no. 1 (May 17, 2024): 164–78. http://dx.doi.org/10.37934/arfmts.117.1.164178.

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This study analyses fixed and tracking solar photovoltaics and, solar thermal power. Performance in different locations was analysed for each configuration and technology using simulations based on a Typical Meteorological Year data. The study analysed a 25MWp solar photovoltaic and solar thermal power plants in each of the eleven selected locations in Zimbabwe. The performance of the solar photovoltaic and solar thermal power plants under different meteorological variables were assessed for all the selected locations. It was shown that different configurations together with different technologies have different conversion efficiencies. A high solar thermal conversion efficiency was found to be 18.718% in Gweru while it was 15.502% for solar photovoltaics in Mutare. The study also showed that highest insolation and clearness index values were found in Gweru. The average energy generated by the fixed photovoltaic collectors, tracking photovoltaic collectors and the Concentrating Solar Power plant were respectively 47.38GWh, 68.18GWh and 192.86GWh. There was a maximum percentage difference in the LCoE generated of 32.03% between the fixed PV collectors and the Concentrating Solar Power plant and a difference of 4.74% was realised between the tracking photovoltaics and Concentration Solar Power.

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Li, Yan Long, Jing Xu, and Chong Yuan. "A Study of Photovoltaic Power Prediction." Applied Mechanics and Materials 733 (February 2015): 203–6. http://dx.doi.org/10.4028/www.scientific.net/amm.733.203.

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Solar photovoltaic power generation as an inexhaustible, inexhaustible clean energy has become the focus of future energy development. Along with photovoltaic power generation incorporated into the power grid, in order to make power generation plan reasonably, ensure the stable operation of power system, need to forecast the photovoltaic power output. In this paper solar photovoltaic power generation forecasting methods are analyzed and summarized. According to the application of solar photovoltaic power generation and demand, mainly on photovoltaic power generation system power prediction research method has carried on the comprehensive elaboration, hoping for the researches play an important role in promoting and advancing the development of solar photovoltaic prediction methods.

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Zhang, Kaipeng, Qiming Song, and Junshuo Zhang. "Promotion and application of Convenient Photovoltaic Charging Car Sheds and Charging Piles." Academic Journal of Science and Technology 8, no. 1 (November 21, 2023): 216–17. http://dx.doi.org/10.54097/ajst.v8i1.14314.

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The purpose of this study is to explore China's national strategy to cope with global climate change, with a special focus on solar photovoltaic power generation projects in renewable energy, as well as convenient photovoltaic carports and charging pile projects under the requirements of energy development in Shandong Province. The author analyzes the photovoltaic project of Shandong Energy Building through research, including project situation, environmental resources, project construction and other aspects. The use of the idle carport roof of Shandong Energy Building to build distributed photovoltaics, the use of "self-generation, surplus electricity grid" mode to provide power supply services for enterprises, and for employees to provide charging services for new energy vehicles. Under the climatic conditions of Jinan, the photovoltaic power generation project has good feasibility.

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Liu, Yudong, Fangqin Li, Jianxing Ren, Guizhou Ren, Honghong Shen, and Gang Liu. "Solar thermal power generation technology research." E3S Web of Conferences 136 (2019): 02016. http://dx.doi.org/10.1051/e3sconf/201913602016.

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China is a big consumer of energy resources. With the gradual decrease of non-renewable resources such as oil and coal, it is very important to adopt renewable energy for economic development. As a kind of abundant renewable energy, solar power has been widely used. This paper introduces the development status of solar power generation technology, mainly introduces solar photovoltaic power generation technology, briefly describes the principle of solar photovoltaic power generation, and compares and analyzes four kinds of solar photovoltaic power generation technology, among which photovoltaic power generation technology is the most mature solar photovoltaic power utilization technology at present.

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Hu, Boxun, Yanan Chen, Desheng Kong, and Yiming Yao. "Large, grid-connected solar photovoltaic power plants renewable energy." Applied and Computational Engineering 7, no. 1 (July 21, 2023): 375–89. http://dx.doi.org/10.54254/2755-2721/7/20230328.

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As an essential part of renewable energy, the solar photovoltaic technic grows rapidly with two main types: off-grid and grid-connected systems. This paper focuses on grid-connected solar photovoltaic power plants and introduces the main physical principles of solar photovoltaics. Typical components of solar photovoltaic power plants are also presented, along with their functions. The extraordinary environmental impact and the relatively low and decreasing cost of grid-connected solar photovoltaics reflect its excellent development potential. Compared with other energy, grid-connected solar photovoltaics provides an alternative to conventional fossil fuel generation. With the improvement of silicon purification technology and the working efficiency of solar batteries, the scale of grid-connected solar photovoltaics power plants will be further expanded.

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Yao, Zenghui. "Photovoltaic power generation control strategy." IOP Conference Series: Earth and Environmental Science 651 (February 10, 2021): 022070. http://dx.doi.org/10.1088/1755-1315/651/2/022070.

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17

Kaplan, G. "Appropriate technologies [photovoltaic power generation]." IEEE Spectrum 31, no. 10 (October 1994): 32. http://dx.doi.org/10.1109/6.328652.

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Liu, Yuewen. "Design of Maximum Power Tracking System for Photovoltaic Power Generation." Journal of Physics: Conference Series 2076, no. 1 (November 1, 2021): 012119. http://dx.doi.org/10.1088/1742-6596/2076/1/012119.

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Abstract Solar power generation is related to climatic conditions, and its high cost and low power generation efficiency have become the main factors restricting its development. Realizing the maximum power tracking of solar photovoltaic power generation through power electronic technology and control technology is an effective measure to increase the power generation of photovoltaic power generation systems, reduce power generation costs, improve solar energy conversion efficiency, and widely promote photovoltaic power generation technology. According to the illumination characteristics of solar cells, using a single-chip microcomputer to control the DC-DC converter and conductance increment method as the control algorithm, a solar maximum power tracking system is designed.

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Wang, Zonglin, Shengli Wang, Xin Zhang, Yan Guo, and Ze Wang. "Three-stage Coordinated Dispatching of Wind Power-Photovoltaic-CSP-Thermal Power Combined Generation System." Journal of Physics: Conference Series 2356, no. 1 (October 1, 2022): 012004. http://dx.doi.org/10.1088/1742-6596/2356/1/012004.

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Aiming at the problem that the grid connection of intermittent renewable energy such as wind power and photovoltaics brings great uncertainty to the power system, a three-stage coordinated scheduling strategy of wind power-photovoltaic-concentrated solar energy is proposed. CSP Combined heat and power system. In the first stage, based on the day-ahead forecast data of wind power, photovoltaics and load, a “peak shaving” model of the combination of wind power-photovoltaic-CSP was established. In the second stage, according to the value of the remaining load after optimization in the first stage, a day-ahead economic dispatch model for thermal power units is established. In the third stage, based on the start-stop status and output of thermal power units in the first and second stages, the output of CSP plants and the intraday forecast data of wind power, photovoltaics, and loads, the establishment of an intraday thermal power joint regulation model and the establishment unit and CSP stations are established, and intraday scheduling plans are arranged. Case analysis shows that the proposed CHP system scheduling strategy can be supplemented by thermal power and CSP during load peak and trough periods, thereby minimizing the uncertainty brought by grid integration of wind power and photovoltaics. Introduce.

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Young, Kevin. "Research on Short-term Power Prediction of Distributed Photovoltaic Power Generation." International Journal of Energy 3, no. 2 (September 20, 2023): 64–67. http://dx.doi.org/10.54097/ije.v3i2.015.

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With the vigorous development of solar photovoltaic power generation, accurate prediction of short-term photovoltaic power generation has become an important issue. However, since the short-term power generation of photovoltaic power generation is affected by many environmental factors and has great uncertainty, the safe operation of the power grid is challenged. Therefore, it is necessary to simulate the power generation in advance through data models and predict the power generation amount. The power grid relies on the valuation and makes corresponding adjustments to maintain the stability of the power grid system.

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Li, Li Sheng, Shi Dong Zhang, He Jin Liu, Xing Quan Ji, Gui Bin Liu, and Ke Jun Li. "Voltage Imbalance Simulation for Distributed Network with Single-Phase PV Connected." Applied Mechanics and Materials 687-691 (November 2014): 3166–70. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.3166.

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There exist many single-phase photovoltaic generations in modern power distribution network, and these distributed sources may be in a certain extent affect the symmetry of voltage. To investigate the impact of photovoltaic generation on quality problem of distribution network, mathematical and digital model of photovoltaic power generation are built in this paper, and the maximum power point tracking control is simulated based on incremental conductance method.

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Consoli, Alfio, Mario Cacciato, and Vittorio Crisafulli. "Power Converters For Photovoltaic Generation Systems In Smart Grid Applications." Eletrônica de Potência 14, no. 4 (November 1, 2009): 251–57. http://dx.doi.org/10.18618/rep.2009.4.251257.

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Lin, Yujie, Xinxia Ma, Yumin Qi, and Tianyu Wu. "Experimental Research on Photovoltaic-Temperature Difference Hybrid Power Generation System." Journal of Physics: Conference Series 2442, no. 1 (February 1, 2023): 012024. http://dx.doi.org/10.1088/1742-6596/2442/1/012024.

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Abstract With the increasingly prominent environmental problems, more and more attention has been paid to new energy power generation. A photovoltaic power generation is currently a well-developed form of new energy power generation. However, in the process of photovoltaic power generation, only part of the wavelength of light can be used to generate power. The rest will be converted to heat, which increases the temperature of the photovoltaic panels, resulting in lower power generation efficiency. In order to improve the efficiency of photovoltaic panels, a photovoltaic-temperature difference (PV-TE) hybrid power generation system can be formed by combining photovoltaic power generation with the thermoelectric generation, which is based on the Seebeck effect. Based on this, we set up the photovoltaic-temperature hybrid power system test bench for testing. The results show that when the working circuit of the TE device is closed, the residual heat of the photovoltaic panel can be used to generate power. It can also cool down the photovoltaic panel at the same time. Thus, the output power increase by about 0.68%.

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Xin, Angbei, Chi Xiao, and Fu Hong. "Study on Photovoltaic Absorption Capacity Evaluation of Distribution Network Based on Improved FPA Computer Algorithm." Journal of Physics: Conference Series 2023, no. 1 (September 1, 2021): 012050. http://dx.doi.org/10.1088/1742-6596/2023/1/012050.

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Abstract FPA algorithm is a new metaheuristic swarm intelligent optimization algorithm for solving optimization problems.In order to promote the further development of China's solar power industry, the National Energy Administration has issued a document to promote distributed photovoltaic power generation system, encouraging photovoltaic power generation to be combined with the needs of users, in cities, villages and buildings and public facilities to promote the system.When calculating the maximum surplus ratio of photovoltaic power generation, it is necessary to select a certain power supply area, clarify its power supply mode, power transmission capacity and path, and calculate the value by fitting the photovoltaic power generation and load characteristic curve.In this paper, based on the characteristics of photovoltaic power generation and the typical load, by studying the create a new index of photovoltaic power generation given abilities distribution network, in the process of dynamic change periodically given capacity of photovoltaic research evaluation, set up photovoltaic maximum surplus "than" index, according to the calculation analysis of factors affecting given distributed photovoltaic power generation capacity and its influence on construction of distribution network transformation, and puts forward Suggestions on construction of photovoltaic power generation demonstration area.

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Wang, Zeliang, and Huang Liang. "Short-term photovoltaic power generation power prediction method based on SOA-BP neural network." Journal of Physics: Conference Series 2378, no. 1 (December 1, 2022): 012095. http://dx.doi.org/10.1088/1742-6596/2378/1/012095.

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Abstract The size of photovoltaic power generation has a certain uncertainty, which affects the quality of photovoltaic power generation, and affects the safety and stable operation of the power grid. By predicting the photovoltaic power generation, this problem can be better solved. A photovoltaic power generation power prediction method combining SOA (Seagull optimization algorithm) and BP neural network is proposed. The convergence speed of BP neural network prediction model is relatively slow, and it is easy to fall into local optimum. Optimizing its weights and thresholds through SOA can improve these situations. Through experiments, Through experimental comparison, it is found that the BP neural network method optimized by seagull algorithm has higher accuracy in predicting photovoltaic power generation.

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Hai-Jun Shen, Hai-Jun Shen, Qing-Hong Wang Hai-Jun Shen, Rui Fan Qing-Hong Wang, and Wei-Min Liu Rui Fan. "Intelligent Optimization Control Method for Photovoltaic Power Generation Systems Under Shadow Occlusion Conditions." 電腦學刊 34, no. 4 (August 2023): 153–61. http://dx.doi.org/10.53106/199115992023083404013.

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<p>In the process of photovoltaic power generation, maximum power point tracking is an important method to improve the efficiency of photovoltaic power generation. Under the actual local shadow condition, the maximum power point of Photovoltaic system fluctuates. For this reason, this paper establishes the mathematical model and output characteristic equation of photovoltaic cells according to the actual application, and then uses the adaptive inertia weight Particle Swarm Optimization algorithm to solve the problem of slow search speed and low accuracy in the process of maximum power point tracking. After optimization, the method proposed in this paper can significantly improve the tracking effect efficiency, and the optimization results in real operation scenarios can improve the photovoltaic cell power generation efficiency by 21.3%, which proves the effectiveness of the algorithm.</p> <p> </p>

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Inomata, Ryosuke, Takashi Akimoto, Daisuke Hatori, Shigeaki Takanishi, Shunsuke Nakamura, Yosuke Mochizuki, Nana Araki, and Daiki Yamashina. "Study on environment conscious technologies in a super tall building: Evaluation of PV performance considering aerological climate." E3S Web of Conferences 111 (2019): 03058. http://dx.doi.org/10.1051/e3sconf/201911103058.

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In recent years, buildings have tended to be taller, and their energy potential is expected be used effectively . Photovoltaics is considered one of technologies affected by air temperature, outside air velocity, and solar radiation from the aerological climate of supertall buildings with a height of 390 m. The energy potential of the “height” of photovoltaic power generation systems is affected by two factors: aerological climate and shadows cast by surrounding buildings. Taking these effects into account, the predicted annual power generation amount was calculated. At 390 m above ground, it was confirmed that the power generation amount was greater than that on the ground, when considering the effectiveness of photovoltaic systems. Then, we calculated the predicted annual power generation amount on each wall and roof surface of a tall building with a height of 390 m above the ground. By evaluating the energy-saving effect of adopting photovoltaic systems, we evaluated the photovoltaic system using the wall surface from the viewpoint of the primary energy reduction and primary energy consumption of the building.

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JI, Cui, Siming HUA, Bingbing ZOU, Hua ZHANG, Chang DIAO, Guofa ZHOU, and Bo MIN. "Monitoring and Analysis of Power Quality in Photovoltaic Power Generation System." E3S Web of Conferences 64 (2018): 06008. http://dx.doi.org/10.1051/e3sconf/20186406008.

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Solar photovoltaic (PV) has been developed rapidly due to its clean and green renewable characteristics. The connection of photovoltaic power generation to the traditional grid system is bound to bring power quality problems. Based on above, this paper introduces the power quality testing method of photovoltaic grid-connected power grid in detail. And then takes the Shanghai Qingpu Nanrong distributed photovoltaic power generation for example, which is the largest single roof photovoltaic power station in Shanghai by far, to use the method to test its power quality. The power quality index include harmonic, voltage imbalance, and frequency deviation. The test and analysis provide a reference for the monitoring and analysis of power quality of photovoltaic grid-connected power grid.

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Zhang, Xiuqi, Liqiang Wang, and Qi Wang. "Typical Failure Causes of Photovoltaic Module." Journal of Physics: Conference Series 2520, no. 1 (June 1, 2023): 012024. http://dx.doi.org/10.1088/1742-6596/2520/1/012024.

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Abstract The application of new energy such as solar energy is a measure to promote the green and low-carbon transformation of energy, and photovoltaic power generation has been widely developed and utilized. The photovoltaic module is an important part of photovoltaic power generation, which is crucial to the economy and reliability of power generation. This paper introduces the current situation of photovoltaic power generation, explains the structure and power generation principle of photovoltaic modules, counts the typical failures of photovoltaic modules, and analyzes the causes of the failures, which can provide a reference for the operation and maintenance of photovoltaic power stations.

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Li, Yan Qing, Fu Ju Wang, and Man Man Yang. "A Simple Analysis of the Influence on Power Quality from Grid Photovoltaic Power Generation System." Advanced Materials Research 347-353 (October 2011): 70–74. http://dx.doi.org/10.4028/www.scientific.net/amr.347-353.70.

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As the increasing proportion of photovoltaic power generation in power grid, the influence from grid photovoltaic power generation to power quality is more and more significant. This paper analyzes the reasons of voltage fluctuation, voltage flicker and harmonics aroused by the photovoltaic energy grid, and summarizes the effects to other power quality index from photovoltaic energy grid. Then it puts forward the improvement actions, which has certain directive significance to the grid planning on photovoltaic power generation.

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Wang, Dong, and Mao Sheng Yang. "Research of Quality Evaluation of PV Power Generation Project Based on the Extension Theory." Advanced Materials Research 1092-1093 (March 2015): 67–71. http://dx.doi.org/10.4028/www.scientific.net/amr.1092-1093.67.

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In order to make a further promotion and development of photovoltaic power generation project, this paper brings the extension theory in photovoltaic power generation project quality evaluation and builds the photovoltaic power generation project extension evaluation index system and model on the basis of matter-element theory and extension analysis. Ranking the evaluating projects by calculating the indicators compared with the correlation of evaluation degrees. The paper takes three photovoltaic power generation project in Shaanxi in 2012 as an example, expounding the model is reasonable and reliable. The empirical results give a best reflection on the quality of the photovoltaic power generation project, which provide a scientific basis for project decision. The paper results provide a new thought for quality assessment of photovoltaic power generation project, enriching the photovoltaic power generation project evaluation method.

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Cai, Gaoyuan, Bingbing Li, Liqun Liu, Zhen Zhao, Lulu Han, and Youfu Lai. "Simulation of distributed photovoltaic power generation system." E3S Web of Conferences 394 (2023): 01013. http://dx.doi.org/10.1051/e3sconf/202339401013.

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Combined with the operation characteristics of photovoltaic power generation system, the mathematical model and simulation model are established, and the control strategy of bipolar inverter with wide output characteristics and the maximum power point tracking (MPPT) control method of conductance increment method are designed. The maximum power output and stable operation of distributed photovoltaic power generation system are realized. The simulation results show that the photovoltaic power generation system model established in this paper can effectively reflect the characteristics of distributed photovoltaic power generation and MPPT control. With the change of lighting conditions, the distributed photovoltaic power generation system can accurately adjust the system output, which is of great significance for the research and operation of distributed photovoltaic power generation system.

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Zhang, Xiuqi, Hongqing Liu, and Lifang Miao. "Fault analysis of photovoltaic inverter." Journal of Physics: Conference Series 2495, no. 1 (May 1, 2023): 012018. http://dx.doi.org/10.1088/1742-6596/2495/1/012018.

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Abstract Photovoltaic power generation is one of the main forms of new energy utilization, and the reliable operation of a photovoltaic inverter, as the main component of a photovoltaic power generation system, is of great significance. Studying and mastering the faults of photovoltaic inverter and taking preventive measures is very important to ensure the stable and efficient operation of the photovoltaic power generation system. This paper expounds on the development of photovoltaic power generation and the composition of the photovoltaic power generation system, summarizes the typical faults of a photovoltaic inverter, analyzes the causes of the faults, and on this basis, puts forward the improvement measures to avoid the faults.

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Xu, Zuping, and Xing Chen. "Optimization of the Coupling between Water and Energy Consumption in a Smart Integrated Photovoltaic Pumping Station System." Water 16, no. 11 (May 23, 2024): 1493. http://dx.doi.org/10.3390/w16111493.

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Agricultural irrigation requires significant consumption of freshwater resources and energy. The integration of photovoltaic power generation into irrigation systems has been extensively investigated in order to save the cost of energy. However, current research often neglects the coupling relationship between photovoltaic power generation and irrigation schemes. This study presented a novel smart integrated photovoltaic pump station system to effectively address the issue associated with water and energy consumption in irrigation. An optimization model was proposed to synchronize the energy consumption of irrigation pump stations with photovoltaic power generation, accurately meeting the irrigation water demand while maximizing solar energy utilization. The optimization model incorporates power balance, grid-connected power, and total water demand as constraints while considering pump speed as the decision variable and aiming to minimize daily operational costs. Finally, a high-standard farmland was used as a case study to validate the efficacy of the optimization strategy through two photovoltaic grid-connected policies—one allowing for the sale of surplus power and the other prohibiting it. An improved dynamic programming method was employed to solve for optimal energy consumption schemes under different water demand conditions; the results were compared against traditional methods, revealing potential cost savings ranging from 6.2% to 30.5%. The optimization model and method propose a new operational concept for the irrigation system with photovoltaic generation, effectively utilizing the distinctive features of both irrigation and photovoltaics to optimize water and energy resources.

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Mansoori, Gausiya, and Amir Ansari. "EXPERIMENTAL STUDY AND ANALYSIS OF PHOTOVOLTAIC ENERGY STORAGES SYSTEM WITH D.C." International Journal of Engineering Technologies and Management Research 2, no. 5 (January 30, 2020): 6–10. http://dx.doi.org/10.29121/ijetmr.v2.i5.2015.36.

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Photovoltaic cells power generations are increased, because of lack of electrical power. Using of uniform solar irradiation in the photovoltaic cells, power-voltage characteristics must be unique and the maximum power is generated from PV cells. The MPPT Device is an essential part for photovoltaic power generation system. Because of nonlinearity behavior of irradiation and temperature in atmosphere.

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Yuan, Wenzhao, Wengfeng Wang, and Jinsong Liu. "Application analysis based on solar grid-connected photovoltaic power generation and intermittent energy storage system." E3S Web of Conferences 520 (2024): 03004. http://dx.doi.org/10.1051/e3sconf/202452003004.

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Solar photovoltaic power generation as a building electrical professional in the energy use of important technical means, through the realisation of photovoltaic conversion, can be a large amount of light energy transmission to the building application, once the electrical energy surplus is too much, but also can be transmitted to the power grid use. Based on this, the article takes the solar photovoltaic power generation system as the basis, comprehensively analyses the operation principle and basic characteristics of solar photovoltaic power generation, summarizes the main influencing factors of grid-connected solar photovoltaic power generation, as well as the impact of grid-connected solar photovoltaic power generation on the grid, and researches on applying automation technology to solar photovoltaic power generation, such as photovoltaic buildings, DC inverters, reactive power compensation, etc., so as to comprehensively improve the grid-connected solar photovoltaic power generation efficiency and provide a constant source of energy for buildings. Solar thermal power generation technology is another kind of solar power generation technology besides photovoltaic power generation. It is a renewable energy generation method that integrates solar thermal conversion power generation, large-scale heat storage and the characteristics of power grid synchronmachine. According to the influence of different intermittent heat load fluctuation characteristics on the design of solar heat collection and heat storage system, the design method of heat collection and heat storage of intermittent solar heating system is established. The operation characteristics of solar energy system in three typical intermittent heating modes are compared and analyzed. It provides the design method and operation optimization strategy for the efficient utilization of solar heating system.

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Liu, Hongwei, and Zunguo Zheng. "Integrated Control Strategy of Voltage and Frequency Modulation for the Photovoltaic-storage Unit." Journal of Physics: Conference Series 2564, no. 1 (August 1, 2023): 012056. http://dx.doi.org/10.1088/1742-6596/2564/1/012056.

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Abstract With the increasing installation of new energy power generation, photovoltaic power generation has become a significant component of the power system. However, the random and fluctuating nature of photovoltaic power generation can pose a challenge. The combination of photovoltaic power generation with energy storage using a photovoltaic-storage unit integrated machine can help mitigate the fluctuations of photovoltaic power generation output and improve the power quality of photovoltaic grid connection. In this paper, we propose a grid-connected integrated control strategy for the photovoltaic-storage unit integrated machine. We use a hybrid energy storage module with a lithium battery and a super capacitor as the energy storage unit for the photovoltaic-storage unit integrated machine. Finally, we use the MATLAB/Simulink simulation platform to simulate and verify the effectiveness of our proposed strategy.

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V. D., Gil-Vera, and Quintero-López C. "Predictive Modeling of Photovoltaic Solar Power Generation." WSEAS TRANSACTIONS ON POWER SYSTEMS 18 (May 3, 2023): 71–81. http://dx.doi.org/10.37394/232016.2023.18.8.

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Photovoltaic solar power referred to as solar power using photovoltaic cells, is a renewable energy source. The solar cells' electricity may be utilized to power buildings, neighborhoods, and even entire cities. A stable and low-maintenance technology, photovoltaic solar power is an appealing alternative for generating energy since it emits no greenhouse gases and has no moving components. This paper aimed to provide a photovoltaic solar power generation forecasting model developed with machine learning approaches and historical data. In conclusion, this type of predictive model enables the evaluation of additional non-traditional sources of renewable energy, in this case, photovoltaic solar power, which facilitates the planning process for the diversification of the energy matrix. Random Forests obtain the highest performance, with this knowledge power systems operators may forecast outcomes more precisely, this is the main contribution of this work.

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Sun, Xiaoxin, Hailong Ye, Yan Li, Fenyu Huangfu, and Chenxu Zhao. "Optimal Operation Of Distribution Network With Photovoltaic." Journal of Physics: Conference Series 2186, no. 1 (February 1, 2022): 012001. http://dx.doi.org/10.1088/1742-6596/2186/1/012001.

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Abstract As a clean, renewable and abundant new energy, photovoltaic power generation has gradually gained people’s favor after wind power. Affected by weather, light intensity and temperature, the output of photovoltaic power generation has obvious fluctuation and uncertainty, which seriously threatens the safe and stable operation of power system. Therefore, it is of great practical significance to study the optimal operation of distribution network containing photovoltaic. In this paper, the short-term output characteristics of photovoltaic power generation are studied, and the short-term output model of photovoltaic power generation is established by using the probability distribution of “clear sky index”. On this basis, based on the power flow calculation principle of DistFlow, the operation optimization model of distribution network with photovoltaic power plants is established, and the stochastic characteristics of photovoltaic power generation are flexibly handled by the opportunity constraint method. Using this model, the influence of the stochastic characteristics of photovoltaic power generation on the day-ahead dispatching and reserve capacity of distribution network is calculated and analyzed.

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Wang, Ziming. "Key technologies in photovoltaic power generation systems." Journal of Physics: Conference Series 2786, no. 1 (June 1, 2024): 012010. http://dx.doi.org/10.1088/1742-6596/2786/1/012010.

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Abstract With the increasing concern for environmental issues and the rising demand for renewable energy, photovoltaic (PV) power generation has gradually stepped into the public view. This paper provides a comprehensive literature review of key technologies in photovoltaic power generation systems, aiming to summarize and analyze the current state of research, trends and key issues in PV power generation systems. Inverters play a crucial role in PV power generation systems. The role of the inverter is not only to convert electrical energy, but also to ensure that the system can realize the most efficient energy conversion under different light conditions through advanced technologies such as maximum power point tracking. This paper provides a side-by-side comparison of several common tracking techniques from the maximum power point, including Perturb and Observe, Incremental Conductance and Fuzzy Logic Control. At last, this paper discusses future perspectives for photovoltaic power generation technology, including the development of new photovoltaic materials to improve photovoltaic conversion efficiency and cost, as well as the enhancement of the intelligence and integration of photovoltaic power generation systems. These improvements are aimed at promoting photovoltaic power generation technology in the direction of being more efficient, more reliable, more intelligent, and more sustainable.

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Wang, ShuMing, XiaoHui Yuan, Qian Huang, AnQing Chen, HanBin Ma, and Xiang Xu. "Daily consumption monitoring method of photovoltaic microgrid based on genetic wavelet neural network." International Journal of Low-Carbon Technologies 18 (2023): 167–74. http://dx.doi.org/10.1093/ijlct/ctac141.

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Abstract In order to comprehensively monitor the daily consumption of photovoltaic power and power generation of photovoltaic microgrid, a daily consumption monitoring method of photovoltaic microgrid based on genetic wavelet neural network is proposed to reduce the relative error of daily consumption monitoring. Considering the power generation forms of various units such as wind power, thermal power, hydropower and photovoltaic power generation, the upper and lower limits of daily consumption of different units and the constraints of consumption calculation are analyzed to obtain the daily consumption of photovoltaic microgrid. On this basis, the daily consumption monitoring model of photovoltaic microgrid including multiple inputs and outputs is constructed by using Morlet wavelet function, and the power generation is calculated by wavelet neural network. The genetic algorithm is used to optimize the individual fitness of wavelet neural network through the training of the number of wavelet bases and related thresholds and weights, and to normalize the optimal individual fitness to realize the daily consumption monitoring of photovoltaic microgrid. The experiment shows that this method can monitor the actual photovoltaic power in sunny weather, and after 12 o’clock, the photovoltaic power gradually drops below 30 kW. In cloudy weather, the actual photovoltaic power reaches its peak at around 12 o’clock, ~45–50 kW, and drops to about 10 kW at 17 o’clock. And the power generation in cloudy days is relatively low, and the power generation in rainy days is the lowest. When the relative humidity is 30%, the power generation increases rapidly and keeps at 8 kWh. When the relative humidity is 50%, the power generation gradually drops to 2 kWh. When the temperature is 20°C, the maximum radiation intensity is about 0.6 kW m2. When the temperature is 30°C, the maximum radiation intensity is greater than 0.8 kW m2. At 11:00 and 12:00, the power generation error is 0.02 kWh. In order to improve the monitoring accuracy of photovoltaic power and daily power generation of photovoltaic microgrid in different environments.

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Yi, Tao, Ling Tong, Mohan Qiu, and Jinpeng Liu. "Analysis of Driving Factors of Photovoltaic Power Generation Efficiency: A Case Study in China." Energies 12, no. 3 (January 23, 2019): 355. http://dx.doi.org/10.3390/en12030355.

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With the increasing consumption of fossil energy and changes in the ecological environment, meeting the energy demands required for industrial and economic development with clean and efficient power generation is a major challenge of our society. Solar energy is considered to be one of the most renewable and sustainable energy sources, and photovoltaic power generation has become an important research topic. This study combines data envelopment analysis (DEA) with Tobit regression analysis to assess the efficiency of photovoltaic power generation in China and analyze factors affecting efficiency to improve the efficiency of photovoltaic power generation. The results show that there are obvious regional differences in photovoltaic power generation efficiency in China. The phenomenon of focusing on economic development at the expense of the use of solar power generation still exists. The establishment of photovoltaic demonstration projects, the implementation of differential electricity price policies, and the promotion of photovoltaic precision poverty alleviation can alleviate economic pressure and effectively improve the efficiency of photovoltaic power generation.

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Mahobia, S. K. "STUDY OF PHOTOVOLTAIC ENERGY STORAGES SYSTEM USING OF MAXIMUM POWER POINT TRACKING." International Journal of Research -GRANTHAALAYAH 5, no. 2 (February 28, 2017): 119–21. http://dx.doi.org/10.29121/granthaalayah.v5.i2.2017.1711.

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The uniform solar irradiation in the photovoltaic cells, power-voltage characteristics must be unique and the maximum powers are generated from PV cells. The MPPT Device are an essential part for photovoltaic power generation system. Maximum Power Point Tracking (MPPT) are used to optimize photovoltaic cells power.

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Phong, Le Tien, Nguyen Minh Cuong, Thai Quang Vinh, and Ngo Duc Minh. "Method to Harness Maximum Power from Photovoltaic Power Generation Basing on Completely Mathematical Model." International Journal of Research and Engineering 5, no. 8 (September 2018): 486–93. http://dx.doi.org/10.21276/ijre.2018.5.8.4.

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Ramesh, S., J. Seetha, G. Ramkumar, Satyajeet Sahoo, T. M. Amirthalakshmi, A. Ranjith, Asiful H. Seikh, Sohail M. A. Khan Mohammed, and Ram Subbiah. "Optimization of Solar Hybrid Power Generation Using Conductance-Fuzzy Dual-Mode Control Method." International Journal of Photoenergy 2022 (April 13, 2022): 1–10. http://dx.doi.org/10.1155/2022/7756261.

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The functioning of a solar hybrid power system is investigated in this research using a unique fuzzy control method. Turbines, solar photovoltaics, diesel engines, fuel cells, aqua-electrolyzes, and other autonomous generation products are used in the hybrid renewable energy system. Further energy storage components of the system include the batteries, turbine, and ultracapacitor. This research incorporates a supercapacitor hybrid energy storage system (HESS) into a solar hybrid power generating system, allowing the consumption and energy storage space and power output to be significantly increased. This study’s approach incorporates a decentralized power generation system with a HESS while increasing electrical output in phases utilizing a dynamic reactive power compensation scheme and a conductance-fuzzy dual-mode control strategy. Due to a nonlinear behavior of photovoltaic (PV) devices’ power output, maximum power point tracking (MPPT) methods must be used to create the greatest power. Infrequently developing atmospheric circumstances, traditional MPPT algorithms do not work adequately. Modeling is used to determine the microgrid’s power output to the photovoltaic hybrid power generating organization, as well as the optimization method for each device in the network. The dynamic power factor correction scheme and also the conductance-fuzzy dual-mode control approach are primarily used in this study to optimize the solar hybrid renewable energy system.

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Dai, Shuang, Dingmei Wang, Weijun Li, Qiang Zhou, Guangke Tian, and Haiying Dong. "Fault Diagnosis of Data-Driven Photovoltaic Power Generation System Based on Deep Reinforcement Learning." Mathematical Problems in Engineering 2021 (November 29, 2021): 1–10. http://dx.doi.org/10.1155/2021/2506286.

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Aiming at the problem of fault diagnosis of the photovoltaic power generation system, this paper proposes a photovoltaic power generation system fault diagnosis method based on deep reinforcement learning. This method takes data-driven as the starting point. Firstly, the compressed sensing algorithm is used to fill the missing photovoltaic data and then state, action, strategy, and return functions from the environment. Based on the interaction rules and other factors, the fault diagnosis model of the photovoltaic power generation system is established, and the deep neural network is used to approximate the decision network to find the optimal strategy, so as to realize the fault diagnosis of the photovoltaic power generation system. Finally, the effectiveness and accuracy of the method are verified by simulation. The simulation results show that this method can accurately diagnose the fault types of the photovoltaic power generation system, which is of great significance to enhance the security of the photovoltaic power generation system and improve the intelligent operation and maintenance level of the photovoltaic power generation system.

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Shin, Joong-Woo, Kwang-Hoon Yoon, Hui-Seok Chai, and Jae-Chul Kim. "Reliability-Centered Maintenance Scheduling of Photovoltaic Components According to Failure Effects." Energies 15, no. 7 (March 30, 2022): 2529. http://dx.doi.org/10.3390/en15072529.

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In the power distribution system of South Korea, the sectionalizer minimizes and recovers the system from failures, and prohibits independent operation of distributed energy resources. Therefore, it is difficult to expect reliability improvements owing to a photovoltaic system in the power distribution system. Herein, we propose a reliability-centered maintenance-scheduling method based on an economic analysis of photovoltaic integration facilities to ensure the economic feasibility of the photovoltaic system operator and the reliability of the power distribution system. Photovoltaic integration facilities are divided into two categories based on their spread of the failure, and the maintenance scheduling is evaluated according to the maximum and minimum losses according to the time of failure. Facilities that cause power outages to photovoltaics and to loads have relatively little effect on the time of failure. This is because the effects of the power outages in the loads predominate. In contrast, facilities that only cause photovoltaic outages are affected by the generation time. In particular, insulated gate bipolar transistors that operate only during photovoltaic generation have been found to be more economical for corrective replacement than preventive replacement.

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Deng, Jun, Nan Xia, Jungang Yin, Jiliang Jin, Shutao Peng, and Tong Wang. "Small-Signal Modeling and Parameter Optimization Design for Photovoltaic Virtual Synchronous Generator." Energies 13, no. 2 (January 13, 2020): 398. http://dx.doi.org/10.3390/en13020398.

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With the continuous proliferation of renewable energy generation, distributed photovoltaic inverters operating at a maximum power point reduce the inertia of power systems, degrading system frequency stability and potentially causing severe oscillations in systems after being disturbed. The virtual synchronous generator (VSG) control method, which causes photovoltaic inverters to possess inertia and damping, now plays an important role in the field of distributed generation. However, while introducing the advantages of synchronous machines, problems with oscillations are also introduced and the stochastic fluctuation characteristic of photovoltaics results in the stochastic drifting of the operating point. This paper presents an adaptive controller parameter design method for a photovoltaic-VSG (PV-VSG) integrated power system. Firstly, a small-signal model of the PV-VSG is built and a state space model is deduced. Then, the small-signal stability and low frequency oscillation characteristics of the photovoltaic power generation system are analyzed. Finally, considering the limitations of system oscillations and the stochastic drifting of the operating point, a global optimization design method for controller parameters used to improve system stability is proposed. The time domain simulation shows that an optimized PV-VSG could provide sufficient damping in the case of photovoltaic power output changes across a wider range.

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Yang, Huixuan, Ming Su, Xin Li, Ruizhao Zhang, and Jinhui Liu. "Distributed Energy Grid-Connected Dense Data Forecasting Technology Based on Federated Learning." Journal of Physics: Conference Series 2592, no. 1 (September 1, 2023): 012013. http://dx.doi.org/10.1088/1742-6596/2592/1/012013.

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Abstract Photovoltaic power generation system is one of the main clean energy power generation systems at present, which plays an important role in daily production and life. However, the photovoltaic power generation system is easily affected by various factors, and the output power will be unstable in the practical application process, which will affect the power generation efficiency. In this paper, a prediction method of distributed energy grid-connected dense data based on federated learning is constructed. This method can not only realize the short-term prediction of distributed photovoltaic power generation data, but also ensure that the data can be encrypted and modeled, thus solving the “digital island” problem. The model evaluation shows that the method in this paper performs well in short-term photovoltaic power generation prediction, and it can predict the short-term power generation of different photovoltaic power stations with high prediction accuracy. This method is of great significance to improve the management and scheduling ability and energy utilization rate of distributed photovoltaic power generation systems.

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Li, Bing Bing, Li Jun Zhao, Chun Zhe Liu, and Hong Bing Ni. "Design of PV/Wind Hybrid Generation Control System Based on PLC." Materials Science Forum 770 (October 2013): 348–51. http://dx.doi.org/10.4028/www.scientific.net/msf.770.348.

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This paper mainly discusses the design of PV/wind hybrid generation control system based on PLC. The control systems of wind power generation and photovoltaic power generation respectively designed according to the MPPT theory, which takes advantage of the complementarity of wind and photovoltaic power to maximum and achieves the purpose of making full use of wind and solar powers. Then the system has been greatly improved to be more efficient with a higher power output ratio. The simulation shows that the PV/wind hybrid generation system can realize maximum power point tracking control of photovoltaic and wind power to satisfy the demand for segmented charging of the battery as well as taking precautions for too much charging and discharging.

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Journal articles on the topic 'Photovoltaic power generation'

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