IEEJ Transactions on Electronics, Information and Systems
Online ISSN : 1348-8155
Print ISSN : 0385-4221
ISSN-L : 0385-4221
<Softcomputing, Learning>
Maximum Power Point Search Strategy with Two Particle Swarm Optimizers for Photovoltaic Model
Haruna MatsushitaHiroaki KurokawaTakuji Kousaka
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2016 Volume 136 Issue 11 Pages 1610-1611

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Abstract

This study applies a circuit solution detecting technique by the particle swarm optimization (PSO) to search the maximum power point (MPP) in the photovoltaic (PV) model. A task of the proposed method is to find system parameters which produce the maximum power, however, finding the MPP requires an information of the circuit solution. The proposed method consists of two PSOs that search the MPP and the circuit solution, respectively. We confirm that the proposed method can obtain the parameters with same accuracy as the exact calculation in a less amount of iterations.

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© 2016 by the Institute of Electrical Engineers of Japan
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