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Global maximum power point tracking for solar power systems using the hybrid artificial fish swarm algorithm

Jianpo Li Pengwei Dong

全球能源互联网(英文)2019,Vol.2Issue(4):351-360,10.
全球能源互联网(英文)2019,Vol.2Issue(4):351-360,10.DOI:10.14171/j.2096-5117.gei.2019.04.008

Global maximum power point tracking for solar power systems using the hybrid artificial fish swarm algorithm

Global maximum power point tracking for solar power systems using the hybrid artificial fish swarm algorithm

Jianpo Li 1Pengwei Dong1

作者信息

  • 1. School of Computer Science, Northeast Electric Power University, Jilin 132012, P.R.China
  • 折叠

摘要

关键词

PV system/NUIC/PSO/AFSA/GMPPT

Key words

PV system/NUIC/PSO/AFSA/GMPPT

引用本文复制引用

Jianpo Li,Pengwei Dong..Global maximum power point tracking for solar power systems using the hybrid artificial fish swarm algorithm[J].全球能源互联网(英文),2019,2(4):351-360,10.

基金项目

This work was supported by National Natural Science Foundation of China (No.61501106),Science and Technology Foundation of Jilin Province (No.20180101039JC and JJKH20170102KJ). (No.61501106)

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