Parameter Determination Of Photovoltaic Cells From Field Testing Data using Particle Swarm Optimization
Abstract
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.
Recommended Citation
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
Meeting Name
IEEE Power and Energy Conference at Illinois (2011: Feb. 25-26, Champaign, IL)
Department(s)
Electrical and Computer Engineering
Sponsor(s)
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)
978-1424480524; 978-1424480517
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2011 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 Feb 2011
Comments
Research was sponsored by the Leonard Wood Institute in cooperation with the U.S. Army Research Laboratory and was accomplished under Cooperative Agreement Number W911NF-07-2-0062.