Maximum power point tracking method based on gray BP neural network photovoltaic power generation system

2014 ◽  
Author(s):  
Yueling Li ◽  
Hong Wang ◽  
Ying Xiao
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Generation System ◽  
Maximum Power Point ◽  
Tracking Method ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Photovoltaic Power ◽  
Power Generation System ◽  
Power Point

Research on Control Simulation of Photovoltaic Power Generation System Based on MPPT

2013 ◽  
Vol 724-725 ◽  
pp. 74-77
Author(s):  
Yong Tao Dai ◽  
You Hui Xie ◽  
Wang Kun Li
Keyword(s):  
External Environment ◽  
Photovoltaic Cell ◽  
Maximum Power ◽  
Generation System ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Photovoltaic Power ◽  
Power Generation System ◽  
Power Point

Output power of photovoltaic cell will change along with the change external environment and load. In order to give full play to the photovoltaic device efficiency and response external environment change fast, A maximum power point tracking circuit is need to be used. In this paper power voltage curve of photovoltaic cell is analyzed exactly. According to the analyzed results, the fuzzy control is applied into maximum power point tracking control of photovoltaic power generation system. This approach can make system working in the maximum power point without interfering with the normal work of the system. It improves that system stability. The simulation results prove that this approach can track the maximum power point of solar cell quickly and accurately.

Study on Automatic Control Method of Photovoltaic Power Systems

2014 ◽  
Vol 1070-1072 ◽  
pp. 52-55
Author(s):  
Hua Long Zhang ◽  
Er Hong Zhang
Keyword(s):  
Power Generation ◽  
Simulation Model ◽  
Maximum Power Point Tracking ◽  
Generation System ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Photovoltaic Power ◽  
Power Generation System ◽  
Power Point

Maximum power point tracking (MPPT) algorithm directly affect the conversion efficiency of photovoltaic power generation system independent of energy, the thesis of common strengths and weaknesses of the MPPT algorithm to summarize, the traditional method of perturbation and observation maximum power point tracking algorithm is improved and build a simulation model, the simulation model are direct and network controllers and input grid and grid-independent photovoltaic power generation system model of network simulation, and network time from both the grid conditions, and the impact of current network waveforms and grid voltage waveform analyzed. Simulation results observed with the conventional perturbation method were compared and analyzed to verify the effectiveness of the improved method.

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