电源技术2013，Vol.37Issue(8)：1410-1413,1421,5.
基于PSO优化BPNN估计光伏阵列MPPT控制系统研究
MPPT control system of photovoltaic array based on PSO-BPNN estimation
摘要
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.关键词
光伏阵列/粒子群优化算法/BP神经网络/最大功率点跟踪/阻抗变换器Key words
photovoltaic array/ particle swarm optimization algorithm/ BP neural network(BPNN)/ maximum powerpoint tracking/ impedance converter分类
信息技术与安全科学引用本文复制引用
周习祥,李加升..基于PSO优化BPNN估计光伏阵列MPPT控制系统研究[J].电源技术,2013,37(8):1410-1413,1421,5.基金项目
湖南省高等学校科学研究项目(10C0319) （10C0319）
