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- 实验方案
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Sky Image-Based Solar Irradiance Prediction Methodologies Using Artificial Neural Networks
摘要： In order to decelerate global warming, it is important to promote renewable energy technologies. Solar energy, which is one of the most promising renewable energy sources, can be converted into electricity by using photovoltaic power generation systems. Whether the photovoltaic power generation systems are connected to an electrical grid or not, predicting near-future global solar radiation is useful to balance electricity supply and demand. In this work, two methodologies utilizing artificial neural networks (ANNs) to predict global horizontal irradiance in 1 to 5 minutes in advance from sky images are proposed. These methodologies do not require cloud detection techniques. Sky photo image data have been used to detect the clouds in the existing techniques, while color information at limited number of sampling points in the images are used in the proposed methodologies. The proposed methodologies are able to capture the trends of fluctuating solar irradiance with minor discrepancies. The minimum root mean square errors of 143 W/m2, which are comparable with the existing prediction techniques, are achieved for both of the methodologies. At the same time, the proposed methodologies require much less image data to be handled compared to the existing techniques.
关键词： Artificial Neural Network,Photovoltaic Power Generation,Solar Energy,Global Horizontal Irradiance Prediction,Sky Image
更新于2025-09-23 15:21:21
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Technological development of multi-energy complementary system based on solar PVs and MGT
摘要： The complementary micro-energy network system consisting of solar photovoltaic power generation (solar PVs) and micro-gas turbine (MGT), which not only improves the absorption rate and reliability of photovoltaic power, but also has the advantages of low emission, high efficiency, and good fuel adaptability, has become one of the most promising distributed power systems in the field of micro grid. According to the development of current technology and the demand of actual work, this research described the domestic and foreign development of micro-energy network system based on solar PVs and MGT. Moreover, it analyzed the challenges and future development regarding the micro-energy network system in planning and design, energy utilization optimization and dispatching management, and system maintenance, respectively. Furthermore, it predicted the future development of the key technology of the multi-energy complementary system. These results will be beneficial for the progress of this field both in theory and practice.
关键词： solar photovoltaic power generation,micro gas turbine,micro-energy network,multi-energy complementary system,renewable energy
更新于2025-09-23 15:21:21
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The Determination of Concession Period for Build-Operate-Transfer Solar Photovoltaic Power Project under Policy Incentives: A Case Study of China
摘要： Since the concession period is one of the most crucial variables influencing the success of a photovoltaic (PV) power project under build-operate-transfer (BOT) mode, this paper presents a real option game model—which integrates the real option and cooperative game theory—to determine the optimal concession period of the BOT solar PV power project under policy incentives by considering the value of the option to defer. In the proposed model, an effective interval of concession period for the BOT project was identified by using a real option, and the equilibrium value of the concession period was obtained by applying classical optimization theory. To evaluate our model, we empirically determined the optimal concession period for the BOT solar PV power project in China, and a sensitivity analysis was conducted to demonstrate how relevant influential factors, which are presented in the model, affect the equilibrium value of the concession period and its effective interval. The results indicate that the current investment environment in China could successfully implement the BOT solar PV power project under policy incentives, including initial cost subsidy and the feed-in tariffs mechanism. While the high volatility of electricity demand, investment cost, and land-use rent fee can lead the failure of the BOT solar PV project implementation, promoting the technological development of PV power generation, maintaining the market stability, and increasing the policy incentives can help the BOT power project to be arranged with an optimal concession period. In addition, the feed-in tariffs mechanism is more helpful than the initial cost subsidy for winning the BOT contract.
关键词： build operate transfer,concession period,China,photovoltaic power generation
更新于2025-09-23 15:21:01
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Assessing the effectiveness of Chinaa??s net-metering subsidies for household distributed photovoltaic systems
摘要： Consumer incentives play a vital role in promoting the adoption of renewable energy technology. In China, the government implemented a single, nation-wide net-metering subsidy to cultivate the distributed photovoltaic electricity generation market in 2013 and then had to reduce it twice due to the falling cost of photovoltaic modules and the large resultant financial gap. The aim of this study was to evaluate whether these subsidy adjustments were accurate, and also to identify the factors affecting the subsidy design. We applied a techno-economic evaluation to examine the actual market performance of China’s household distributed photovoltaic system in five typical cities with different levels of solar radiation and electricity consumption patterns, and then investigated the subsidy policy’s effectiveness through a cost-benefit analysis. The results show that a 3e7 kW photovoltaic capacity in different regions of solar radiation can meet the residential electricity demand. We found that the examination of net-metering effectiveness should consider both regional difference in solar radiation and the different levels of electricity demand. Additionally, the cost-benefit analysis also indicated that a reasonable, regionally differentiated metering subsidy should be in the range of 0.05e0.27 yuan/kWh.
关键词： Cost-benefit analysis,Distributed photovoltaic power generation,Techno-economic evaluation,Net-metering policy
更新于2025-09-23 15:19:57
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Number of maximum power points in photovoltaic arrays during partial shading events by clouds
摘要： This article presents a study of the number of maximum power points (MPPs) of photovoltaic (PV) module arrays during partial shading events by clouds. Around 9000 shadow edges were identified in measured irradiance data, and the electrical characteristics of 250 to 500 PV module arrays with different configurations were studied during the irradiance changes. It was found that most of the partial shading events caused by clouds do not cause multiple MPPs for PV arrays, even for a moment. The number of MPPs was found to decrease with the increasing number of parallel-connected PV strings, but to increase strongly with the increasing length of the strings. According to the results, the use of a total-cross-tied electrical PV array configuration leads to worse system performance compared to a simple series-parallel configuration during partial shading events. Dark shadows with sharp edges moving parallel to the PV strings caused the largest MPP numbers, up to 20. The results show that energy losses due to operation at a local MPP instead of the global one during partial shading events by clouds have only a minor effect on the total energy production of PV arrays.
关键词： Maximum power point,Photovoltaic Array,Partial shading,Irradiance change,Photovoltaic power generation
更新于2025-09-19 17:13:59
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[IEEE 2019 Chinese Automation Congress (CAC) - Hangzhou, China (2019.11.22-2019.11.24)] 2019 Chinese Automation Congress (CAC) - Research on Reactive Power Optimization Control Strategy of Distribution Network with Photovoltaic Generation
摘要： What the thesis studies is the active and reactive decoupling control method of photovoltaic grid-connected inverter, and then the reactive power of grid-connected inverter is optimized by genetic algorithm with the objective of minimizing network loss, So as to realize reactive power optimization control of the photovoltaic power generation system.An algorithm based on genetic algorithm for reactive power optimization of photovoltaic power generation and distribution network is proposed.A mathematical model for reactive power optimization of distribution network has been established. The mathematical model those of photovoltaic power generation system Considering the limits of not only minimum network loss but also node voltage, what is used to optimize the reactive power of photovoltaic power generation is genetic algorithm. The example simulation results indicate the designed optimization algorithm is effective and correct in reducing power loss and improving voltage quality.
关键词： Photovoltaic power generation,Grid-connected inverter,Genetic algorithm,Reactive power optimization
更新于2025-09-19 17:13:59
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[IEEE 2019 IEEE 2nd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) - Shenyang, China (2019.11.22-2019.11.24)] 2019 IEEE 2nd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) - Voltage Influence Analysis of Photovoltaic Grid Connection under Ring Network Structure
摘要： Large-scale grid-connected photovoltaic power supply will impact the operation of the grid, resulting in voltage fluctuations, at the same time, harmonic injection will affect the distribution of harmonic voltage in the system. Based on the theoretical analysis and demonstration of the voltage deviation caused by the photovoltaic power supply connecting to the feeder of 10kV distribution network and the influence of the total harmonic distortion rate THDu.
关键词： photovoltaic power generation,voltage fluctuation,power flow reversal,distribution network,voltage jump
更新于2025-09-19 17:13:59
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Prediction short-term photovoltaic power using improved chicken swarm optimizer - Extreme learning machine model
摘要： Photovoltaic power generation is greatly affected by weather conditions while the photovoltaic power has a certain negative impact on the power grid. The power sector takes certain measures to abandon photovoltaic power generation, thus limiting the development of clean energy power generation. This study is to propose an accurate short-term photovoltaic power prediction method. A new short-term photovoltaic power output prediction model is proposed Based on extreme learning machine and intelligent optimizer. Firstly, the input of the model is determined by correlation coef?cient method. Then the chicken swarm optimizer is improved to strengthen the convergence. Secondly, the improved chicken swarm optimizer is used to optimize the weights and the extreme learning machine thresholds to improve the prediction effect. Finally, the improved chicken swarm optimizer extreme learning machine model is used to predict the photovoltaic power under different weather conditions. The testing results show that the average mean absolute percentage error and root mean square error of improved chicken swarm optimizer - extreme learning machine model are 5.54% and 3.08%. The proposed method is of great signi?cance for the economic dispatch of power systems and the development of clean energy.
关键词： Extreme learning machine,Model-driven method,Photovoltaic power generation,Intelligent optimizer,Power prediction
更新于2025-09-16 10:30:52
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Charging Strategy of Supercapacitor in Photovoltaic Power Generation System
摘要： The charging efficiency of supercapacitor under different charging methods is analyzed by using the improved RC model of supercapacitor. A photovoltaic cell charging system for supercapacitor based on Boost cascade Buck converter (BOCBB) is proposed. The former Boost converter is connected to the photovoltaic power generation system, and the conductance increment method is used to track the maximum power point of the photovoltaic cell. The latter Buck converter uses a segmented charging strategy to charge the supercapacitor. Based on this circuit, a complete control method for the supercapacitor charging system is proposed. Finally, the charging efficiency of supercapacitor by photovoltaic cells under different lighting conditions is simulated and analyzed.
关键词： Boost cascade Buck converter,charging strategy,conductance increment method,supercapacitor,photovoltaic power generation
更新于2025-09-16 10:30:52
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[IEEE 2019 IEEE 10th International Symposium on Power Electronics for Distributed Generation Systems (PEDG) - Xi'an, China (2019.6.3-2019.6.6)] 2019 IEEE 10th International Symposium on Power Electronics for Distributed Generation Systems (PEDG) - Reliability Evaluation of Photovoltaic Power Generation System Based on Fuzzy Layering Method
摘要： The analysis process of the overall reliability evaluation model of the traditional photovoltaic power generation system is complicated, and the shortcomings of the system weak link cannot be analyzed. This paper proposes a fuzzy hierarchical evaluation method based on sensitivity analysis to evaluate the reliability of photovoltaic power generation systems. The method judges the whole system failure factor by introducing the fault frequency, the degree of fault impact, and the second evaluation criterion of the fault detection difficulty. In particular, the Monte Carlo-based component sensitivity analysis method is used to calculate the degree of fault impact. Finally, the method of this paper is used to analyze a photovoltaic power generation system. The effectiveness of the proposed method is verified by the overall reliability analysis and the evaluation of fault factors. It is proved that the method is of great significance for analyzing the reliability of the photovoltaic system and the weak link of the system.
关键词： photovoltaic power generation system,sensitivity analysis,Monte Carlo,fuzzy layering evaluation method
更新于2025-09-16 10:30:52