Maximum Power Point Search Strategy with Two Particle Swarm Optimizers for Photovoltaic Model

• Matsushita Haruna

  Faculty of Engineering, Kagawa University

• Kurokawa Hiroaki

  School of Engineering, Tokyo University of Technology

• Kousaka Takuji

  Faculty of Engineering, Oita University

Bibliographic Information

Other Title

• 2種類の粒子群最適化法による太陽電池モデルの最大電力点探索

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.

Journal

• IEEJ Transactions on Electronics, Information and Systems

  IEEJ Transactions on Electronics, Information and Systems 136 (11), 1610-1611, 2016

  The Institute of Electrical Engineers of Japan

Keywords

• maximum power point (MPP)
• particle swarm optimization (PSO)
• detection of fixed point

Details

• CRID: 1390282679584017280
• NII Article ID: 130005268586
• DOI: 10.1541/ieejeiss.136.1610
• ISSN: 13488155
• ISSN: 03854221
• Web Site: https://www.jstage.jst.go.jp/article/ieejeiss/136/11/136_1610/_pdf
• Text Lang: ja
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed