Multicluster-based particle swarm optimization algorithm for photovoltaic maximum power point tracking

Wei Ru Chen, Liang-Rui Chen, Chia Hsuan Wu, Ci Min Lai

研究成果: Conference contribution

2 引文 斯高帕斯(Scopus)

摘要

In this paper, a multi-cluster-based particle swarm optimization (MC-PSO) algorithm for photovoltaic (PV) maximum power point tracking (MPPT) is proposed to promote the MPPT performance in the partial shading condition. During the tracking process, each PV module is viewed as a particle and the PV modules with similar characteristics are put into the same cluster. The particles in the same cluster can refer the information to each other to realize the MPPT in the partial shading condition. In addition, multiple sampling points can be obtained at the same time to avoid the misjudgement problem during insolation changing rapidly. Thus, the tracking speed is also improved. The simulation results used by MATLAB is done and compared with the perturbation and observation (P&O) MPPT algorithm. The accuracy of MPPT of the proposed MC-PSO is improved to 96.3% in the partial shading condition. Finally, a 2.1kW prototype is implemented to verify the feasibility. The generated energy using the proposed method compared to the conventional P&O method is increased about 13.3%.

原文English
主出版物標題2015 IEEE 2nd International Future Energy Electronics Conference, IFEEC 2015
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781479976577
DOIs
出版狀態Published - 2015 十二月 18
事件2nd IEEE International Future Energy Electronics Conference, IFEEC 2015 - Taipei, Taiwan
持續時間: 2015 十一月 12015 十一月 4

Other

Other2nd IEEE International Future Energy Electronics Conference, IFEEC 2015
國家Taiwan
城市Taipei
期間15-11-0115-11-04

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering

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