A Fuzzy-PSO Based Controller for a Grid Independent Photovoltaic System

Author

Welch, Richard ; Venayagamoorthy, Ganesh K.

Author_Institution

Dept. of Electr. & Comput. Eng., Missouri Univ., Rolla, MO

fYear

2007

fDate

1-5 April 2007

Firstpage

227

Lastpage

233

Abstract

This paper presents a particle swarm optimization (PSO) method for optimizing a fuzzy logic controller (FLC) for a photovoltaic (PV) grid independent system consisting of a PV collector array, a storage battery, and loads (critical and non-critical loads). PSO is used to optimize both the membership functions and the rule set in the design of the FLC. Optimizing the PV system controller yields improved performance, allowing the system to meet more of the loads and keep a higher average state of battery charge. Potential benefits of an optimized controller include lower costs through smaller system sizing and a longer battery life

Keywords

fuzzy control; particle swarm optimisation; photovoltaic power systems; power system control; PV collector array; fuzzy logic controller; grid independent photovoltaic system; membership functions; particle swarm optimization; storage battery; Batteries; Control systems; Cost function; Design optimization; Fuzzy logic; Logic arrays; Optimization methods; Particle swarm optimization; Photovoltaic systems; Solar power generation;

fLanguage

English

Publisher

ieee

Conference_Titel

Swarm Intelligence Symposium, 2007. SIS 2007. IEEE

Conference_Location

Honolulu, HI

Print_ISBN

1-4244-0708-7

Type

conf

DOI

10.1109/SIS.2007.367942

Filename

4223179