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Bimonthly Since 1986 |
ISSN 1004-9037
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Publication Details |
Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
Distributed by:
China: All Local Post Offices
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Abstract
Partial shading is a common problem in photovoltaic (PV) systems, and is notoriously difficult to solve. To address this issue, multiple approaches have been made. This paper proposes the use of the metaheuristic optimization method, PARTICLE SWARM OPTIMIZATION (PSO), to track the multiple-peak P–V curve in PV systems under partial shading conditions (PSCs). The results of the PSO algorithm were found to be very fast, reliable, and precise in normal conditions, PSCs, and changes in irradiance. Furthermore, the PSO algorithm was shown to have a significant improvement in performance when compared to the perturb and observe (P&O) algorithm.
Keyword
Photovoltaic system, maximum power point tracking, partial shading condition, PSO optimization.
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