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
R. L. Welch and G. K. Venayagamoorthy, "A Fuzzy-PSO Based Controller for a Grid Independent Photovoltaic System," Proceedings of the IEEE Swarm Intelligence Symposium, 2007, Institute of Electrical and Electronics Engineers (IEEE), Apr 2007.
The definitive version is available at https://doi.org/10.1109/SIS.2007.367942
IEEE Swarm Intelligence Symposium, 2007
Electrical and Computer Engineering
Keywords and Phrases
Fuzzy Control; Particle Swarm Optimisation; Photovoltaic Power Systems; Power System Control
Article - Conference proceedings
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