A High Performance PSO-Based Global MPP Tracker for a PV Power Generation System

Energies

Kuei-Hsiang Chao¹ 

[1] Department of Electrical Engineering, National Chin-Yi University of Technology, Taichung 41170, Taiwan; E-Mail

关键词: particle swarm optimization (PSO) algorithm;    maximum power point tracking (MPPT);    photovoltaic module array;    P-V characteristic curves;   

DOI  :  10.3390/en8076841

来源: mdpi

【 摘 要 】

This paper aims to present an improved version of a typical particle swarm optimization (PSO) algorithm, such that the global maximum power point (MPP) on a P-V characteristic curve with multiple peaks can be located in an efficient and precise manner for a photovoltaic module array. A series of instrumental measurements are conducted on variously configured arrays built with SANYO HIP2717 PV modules, either unshaded, partially shaded, or malfunctioning, as the building blocks. There appear two, triple and quadruple peaks on the corresponding P-V characteristic curves. Subsequently, the tracking performance comparisons, made by some practical experiments, indicate the superiority of this improved MPP tracking algorithm over the typical one.

【 授权许可】

CC BY   
© 2015 by the author; licensee MDPI, Basel, Switzerland.