- 标题
- 摘要
- 关键词
- 实验方案
- 产品
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Enhanced state estimation and bad data identification in active power distribution networks using photovoltaic power forecasting
摘要： In view of the problems of insu?cient real-time measurements in active distribution networks, a state estimation method for active distribution networks is proposed based on the forecasting of photovoltaic (PV) power generation. First, the extreme learning machine (ELM) enhanced by the genetic algorithm (GA) is used to forecast the PV power generation. Second, the Gaussian mixture model (GMM) is used to model the forecasting error. The weighted mean of the forecasting error is used to correct the forecasting value of the PV power generation, and the weighted variance of the forecasting error is used as the basis for setting the pseudo measurement weight. Finally, the real-time measurements collected by the supervisory control and data acquisition (SCADA) system, the forecasted pseudo measurements, and the virtual measurements are used to estimate the state of the active distribution network using the weighted least square (WLS) algorithm. Through simulations in the IEEE 33-bus system, it is shown that the proposed model provides accurate and reliable pseudo measurements for the active distribution network, improves the redundancy of the system, and thus further improves the accuracy of the state estimation and the capability of detecting and identifying bad data in active distribution systems without adding measurement devices.
关键词： Gaussian mixture model,Bad data,Forecasting of photovoltaic power generation,Active distribution system,State estimation,Pseudo measurement
更新于2025-09-16 10:30:52
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[IEEE 2019 4th International Conference on Intelligent Green Building and Smart Grid (IGBSG) - Hubei, Yi-chang, China (2019.9.6-2019.9.9)] 2019 4th International Conference on Intelligent Green Building and Smart Grid (IGBSG) - Research on Efficiency Improvement Strategy of A New Type of Photovoltaic Power Generation Conversion System
摘要： With the increasingly prominent environmental problems, the proportion of photovoltaic in distributed power supply is increasing. In this paper, a new tracking method of solar maximum power point is proposed, which can keep the system in the position of maximum power point, and build on Matlab/Simulink simulation model to proposed method is verified.
关键词： Power generation conversion,Photovoltaic power generation,MPPT control
更新于2025-09-12 10:27:22
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[IEEE 2019 Chinese Control And Decision Conference (CCDC) - Nanchang, China (2019.6.3-2019.6.5)] 2019 Chinese Control And Decision Conference (CCDC) - Tracking the Maximum Power Point of Photovoltaic Power Generation Based on Self-coding Neural Network
摘要： The current and voltage of photovoltaic power generation system constantly are changed by the external temperature and radiation, which can lead to the constant change in the maximum power point of photovoltaic power generation. To resolve this problem, we propose a novel method based on the self-encoding neural network technology which is applied to the maximum power point tracking of photovoltaic power generation. The method is based on the deep learning network training of stacking encoders and fine-tuning the self-coding neural network which utilizes the reverse propagation method with supervised learning. Finally the model analysis of photovoltaic power generation system is carried out by MATLAB/simulink environment. The results show that this method can track the maximum power point of photovoltaic power more quickly and accurately than the conventional conductance increment method and improve the efficiency of photovoltaic power generation.
关键词： Photovoltaic Power Generation,Maximum Power Point Tracking,Self-encoding Neural Network
更新于2025-09-12 10:27:22
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Diffusion charge compensation strategy for power balancing in capacitor-less photovoltaic modules during partial shading
摘要： Photovoltaic arrays are highly susceptible to the partial shading that drastically reduces the power output by forming multiple peaks in the characteristics curves complicating the operation of maximum power point trackers (MPPTs). In this paper, a new diffusion charge compensation strategy for power enhancement in the arrays during partial shading has been proposed. The strategy eliminates the requirement of bypass diodes and passive energy storage components and uses the inherent diffusion capacitance of the module for power balancing during shading reducing cost and complexity. The strategy has been tested in MATLAB/Simulink environment and validated experimentally under various partial shading scenarios. The proposed strategy increases the power output and improves the tracking efficiency of the MPPTs by forming single maxima in the characteristics curves of the array during partial shading as compared to the conventional arrays with and without bypass diodes. Also, the proposed strategy excels in performance by increasing the power output of arrays during partial shading with a conversion efficiency of nearly 98%.
关键词： Photovoltaic,Power generation,Partial shading,Diffusion capacitance,Maximum power point tracker,Charge compensation
更新于2025-09-12 10:27:22
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Prediction of Photovoltaic Power Generation Based on General Regression and Back Propagation Neural Network
摘要： Based on the general regression (GR) and back propagation (BP) neural network prediction method, this work forecasts the generated power of photovoltaic (PV) power station. First, the Pearson correlation coefficient method was used to analyze the meteorological factors. The degree of correlation between complex weather factors and PV power output was differentiated and the irradiance and battery temperature were selected as the important influencing variables. Second, the weather was classified according to the certain classification criteria. Then, we established the model by using GR and BP neural network prediction methods. The relative errors were within acceptable limits. The former model is more convenient while the latter model has better nonlinear fitting capacity. The results of the two models are compared and analyzed. We find out that the BP neural prediction method have better prediction results than GR method on PV power generation. Our findings can not only provide valuable information for the optimal dispatching of micro-grid and photovoltaic power, but also be of great significance in energy management and hierarchical control of micro-grid.
关键词： back propagation neural network,photovoltaic power generation,general regression neural network,Pearson correlation coefficient
更新于2025-09-12 10:27:22
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Simulation Analysis of Harmonic Characteristics of Photovoltaic Power Generation System Based on MATLAB
摘要： Photovoltaic (PV) power generation system, as a kind of clean energy power, is increasingly applied in the power grid. However, due to the uncertainty and fluctuation of PV system, it has negative influence on the power quality, such as power factor deterioration, voltage waveform distortion and electromagnetic interference. In this paper, by doing the equivalent impedance transformation of the high voltage transmission and distribution system with photovoltaic power supply, the influence of photovoltaic power generation on amplification of harmonic voltage and harmonic current of high voltage transmission side is analyzed. The capacity of PV system varies with the range of harmonics. Finally, the optimal operation mode of photovoltaic power generation is put forward innovatively based on harmonic characteristics under different operating conditions and capacity. It aims to guide the harmonic suppression of photovoltaic power generation system.
关键词： transmission and distribution,harmonic suppression,photovoltaic power generation system,harmonics
更新于2025-09-12 10:27:22
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Experimental study of a micro-refrigeration system driven by photovoltaic power generation
摘要： A micro-refrigeration experimental system driven by photovoltaic power generation was established, and a study of the cooling capacity, load power, and system efficiency changes over time under sunny and cloudy weather conditions was carried out. The results show that the appendant battery makes the system run more stably, and the weather has no obvious effect on the operation of the indoor refrigeration system. The system exergy analysis indicates that the exergy loss of the compression process is the largest, accounting for more than 80% of the total in the refrigeration system; The exergy efficiency of the refrigeration system can reach about 28% under both weather conditions.
关键词： exergy analysis,Photovoltaic power generation,micro refrigeration system
更新于2025-09-12 10:27:22
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An Experimental Study on Dual P-f Droop Control of Photovoltaic Power Generation for Supporting Grid Frequency Regulation
摘要： The objective of this study is to develop an active power control of photovoltaic power generation (PV) system for supporting grid frequency regulation in two different forms, i.e. slow frequency control contributing to load – frequency control (LFC) and fast frequency control contributing to inertial response of synchronous generators. Two different active power – frequency droop characteristics are implemented simultaneously by using different frequency measurement methods. The performance test result of proposed control using an experimental setup shows that PV system equipped with proposed control can supply appropriate active power according to two different droop characteristics for slow frequency control and fast frequency control.
关键词： inverter,inertial response,Droop control,photovoltaic power generation,frequency control
更新于2025-09-12 10:27:22
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[IEEE 2018 IEEE International Conference on Information and Automation (ICIA) - Wuyishan, China (2018.8.11-2018.8.13)] 2018 IEEE International Conference on Information and Automation (ICIA) - Research on Photovoltaic Power Generation Power Prediction Algorithm Based on Component Aging
摘要： The timely safety improvement of power system scheduling and the reasonable arrangement of various forms of power supply work are realized by the accurate photovoltaic power forecasting.Therefore, in order to achieve a more accurate forecast of photovoltaic power, In this paper, the photovoltaic power generation system based on the theory of the similar day output power of the defects in the prediction algorithm was improved, in the new algorithm consider the aging of components, so it is concluded that the power prediction more accurate.
关键词： Photovoltaic power generation,Prediction algorithm,Photovoltaic panel life cycle,Power prediction
更新于2025-09-11 14:15:04
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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) - The application of cascade power electronic transformer in large-scale photovoltaic power generation system
摘要： In this paper, a high frequency isolated photovoltaic dc side connection system based on dual active bridge (DAB) converter with multiple photovoltaic arrays with parallel input and cascade output is proposed. The power transmission capacity of DAB converter is analyzed, its phase-shifting control strategy is designed, and a 300kW/3kV photovoltaic power generation system model is built in MATLAB/Simulink for simulation. The simulation results verify the feasibility of the system structure and the effectiveness of the proposed control strategy.
关键词： maximum power point tracking (MPPT),PV array,photovoltaic power generation,dual active bridge (DAB)
更新于2025-09-11 14:15:04