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- W2349587611 abstract "In order to make full use of PV to transform energy and improve the generating efficiency of photovoltaic array,a modeling method based on PSO-BPNN was raised based on the analysis of photovoltaic array's volt-ampere characteristics and maximum power point tracking(MPPT).Consequently,the dynamic model of the photovoltaic array was constructed with the improved neural network and the maximum power point tracking for the photovoltaic array was realized through PSO-BPNN model fitting the nonlinear relation between output power and output voltage of PV array.Matlab/Simulink simulation and on-line test results indicate that the photovoltaic array MPPT control system based PSO-BPNN can track photovoltaic array's maximum power point rapidly and accurately,which makes BP neural network's convergence speed quicker and fall into the local extremum easily.Above all,the modeling precision,system stability and energy conversion efficiency can be improved.So,MPPT control system of the photovoltaic array based PSO-BPNN is a feasible way of studying photovoltaic power generation." @default.
- W2349587611 created "2016-06-24" @default.
- W2349587611 creator A5088251064 @default.
- W2349587611 date "2013-01-01" @default.
- W2349587611 modified "2023-09-24" @default.
- W2349587611 title "MPPT control system of photovoltaic array based on PSO-BPNN estimation" @default.
- W2349587611 hasPublicationYear "2013" @default.
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