电测与仪表Issue(2)：40-44,5.
基于GA-BP神经网络的光伏阵列MPPT研究
Research on GA-BP Based MPPT Algorithm for Photovoltaic Array
陈年 1王宏华 1韩伟1
作者信息
- 1. 河海大学能源与电气学院，南京211100
- 折叠
摘要
Abstract
To improve the maximum output power of the photovoltaic power generation system, this paper proposes a new photovoltaic maximum power point tracking (MPPT) method after comprehensive consideration of advantages and disadvantages of traditional algorithms. The method is based on genetic algorithm (GA) optimized BP neural network. Through the establishment of the maximum power point prediction model with neural network and the conversion of the model to the module that can be directly used in Simulink, traditional control method using S function is avoided. Simulation results with MATLAB/Simulink show that compared with traditional incremental inductance method, our method can track MPP faster and suppress fluctuations of the system at MPP more efficiently when luminous intensity and temperature change quickly.关键词
光伏电池/神经网络/最大功率点跟踪Key words
photovoltaic battery/neural network/maximum power point tracking分类
信息技术与安全科学引用本文复制引用
陈年,王宏华,韩伟..基于GA-BP神经网络的光伏阵列MPPT研究[J].电测与仪表,2014,(2):40-44,5.
