Title

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.

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

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.

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)

9781424480524; 9781424480517

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.

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