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Energies 2015, 8(7), 6841-6858; doi:10.3390/en8076841

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

Department of Electrical Engineering, National Chin-Yi University of Technology, Taichung 41170, Taiwan
Academic Editor: Jean-Michel Nunzi
Received: 27 February 2015 / Revised: 10 June 2015 / Accepted: 24 June 2015 / Published: 7 July 2015
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Abstract

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. View Full-Text
Keywords: particle swarm optimization (PSO) algorithm; maximum power point tracking (MPPT); photovoltaic module array; P-V characteristic curves particle swarm optimization (PSO) algorithm; maximum power point tracking (MPPT); photovoltaic module array; P-V characteristic curves
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Chao, K.-H. A High Performance PSO-Based Global MPP Tracker for a PV Power Generation System. Energies 2015, 8, 6841-6858.

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