A Multi-Stage MPPT Algorithm for PV Systems Based on Golden Section Search Method

被引：0

作者：

Shao, Riming ^{[1
]}

Wei, Rong ^{[1
]}

Chang, Liuchen ^{[1
]}

机构：

[1] Univ New Brunswick, Dept Elect & Comp Engn, Fredericton, NB E3B 5A3, Canada

来源：

2014 TWENTY-NINTH ANNUAL IEEE APPLIED POWER ELECTRONICS CONFERENCE AND EXPOSITION (APEC) | 2014年

关键词：

POWER-POINT TRACKING;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

This paper proposes a complete maximum power point tracking (MPPT) solution for grid-connected photovoltaic (PV) systems. The proposed MPPT algorithm is a multi-stage algorithm combined with the golden section search (GSS) method and two other commonly used methods: the perturb and observe (P&O) and the incremental conductance (INC). The GSS method is used for its fast convergence time and robustness. The GSS mechanism, as well as the whole multistage MPPT strategy, is described in this paper. Finally, the results of simulations and experiments are given to verify the good performance of the system.

引用

页码：676 / 683

页数：8

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