Parameter Determination Of Photovoltaic Cells From Field Testing Data using Particle Swarm Optimization
This paper presents a swarm intelligence approach to extract equivalent circuit parameters of Photovoltaic (PV) Cells. The circuit model of a PV cell is non-linear and transcendental, which makes it difficult to solve using conventional numerical methods. Particle swarm optimization (PSO) was applied to extract the solar cell parameters. It has been confirmed that the proposed approach can obtain good parameter precision under the variations of solar insolation and environmental temperature.
H. Qin and J. W. Kimball, "Parameter Determination Of Photovoltaic Cells From Field Testing Data using Particle Swarm Optimization," Proceedings of the IEEE Power and Energy Conference at Illinois (2011, Champaign, IL), Institute of Electrical and Electronics Engineers (IEEE), Feb 2011.
The definitive version is available at https://doi.org/10.1109/PECI.2011.5740496
IEEE Power and Energy Conference at Illinois (2011: Feb. 25-26, Champaign, IL)
Electrical and Computer Engineering
Leonard Wood Institute
U.S. Army Research Laboratory
Keywords and Phrases
Circuit Modeling; Environmental Temperature; Equivalent Circuit Parameter; Parameter Determination; Parameters Extraction; Solar Cell Parameters; Solar Insolation; Swarm Intelligence; Artificial Intelligence; Photoelectrochemical Cells; Photovoltaic Cells; Particle Swarm Optimization (PSO); Integrated Circuit Modeling; Arrays; Resistance; Equivalent Circuits; Computational Modeling; Solar Cells; Particle Swarm Optimisation; Power System Parameter Estimation
International Standard Book Number (ISBN)
Article - Conference proceedings
© 2011 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
01 Feb 2011