电力系统保护与控制2018，Vol.46Issue(11)：23-29,7.DOI:10.7667/PSPC170739
基于差分进化人工蜂群算法的光伏最大功率跟踪策略研究
Research on maximum power point tracking strategy based on differential evolution artificial
bee colony algorithm ofphotovoltaic system
盛四清 1陈玉良 1张晶晶1
作者信息
- 1. 华北电力大学电气与电子工程学院,河北 保定 071003
- 折叠
摘要
Abstract
The P-U characteristics of the PV array with bypass diodes have multi local maximum power points under partially shadowed conditions, but Conventional Maximum Power Point Tracking (CMPPT) methods may fail to identify global maximum power points. The number of the extreme points in the output characteristics of PV array is studied, and the artificial bee colony algorithm based on differential evolution is applied to the MPPT. First, the initial positions of the bees are pre-defined to avoid missing the extreme points. Combining the mutation strategy in the differential evolution algorithm with the artificial bee colony algorithm to realize the global maximum power point tracking control under time-varying conditions, and efficient iteration stop strategy is proposed which could reduce the power oscillation when trending to steady state.The S-Function model is built in Matlab to verify the effectiveness of the algorithm.关键词
光伏阵列/最大功率点跟踪/差分进化人工蜂群算法/预定义初始化/S-Function仿真模型Key words
PV array/maximum power point tracking/differential evolution artificial bee colony algorithm/predefined initialization/S-Function model引用本文复制引用
盛四清,陈玉良,张晶晶..基于差分进化人工蜂群算法的光伏最大功率跟踪策略研究[J].电力系统保护与控制,2018,46(11):23-29,7.
