Smart maximum power point tracking in photovoltaic module arrays under partial shading

Long Yi Chang, Yi Nung Chung, Kuei Hsiang Chao, Hsueh Chien Liu

Research output: Contribution to journalArticlepeer-review


This study primarily investigated the output characteristics of photovoltaic module arrays (PMAs) including partially shaded modules and proposed a smart particle swarm optimization (PSO)-based maximum power point tracking (MPPT) method. The proposed method can be used to successfully track the global optima of characteristic curves exhibiting multiple peaks. The slope and slope change rate of characteristic curves are included in the proposed method to adjust the weighting of the PSO algorithm and improve the performance of maximum power point trackers. Simulation tests were conducted on PMAs (in various series-parallel configurations) exhibiting two, three, or four peaks in their power-voltage characteristic curves when partial shading occurred. The simulation results confirmed that the proposed MPPT algorithm can successfully track the actual maximum power points when applied to multipeaked output characteristic curves of PMAs. In addition, the tracking performance of the proposed method is superior to that of the conventional PSO algorithm.

Original languageEnglish
Pages (from-to)629-636
Number of pages8
JournalICIC Express Letters
Issue number3
Publication statusPublished - 2016 Mar 1

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)

Fingerprint Dive into the research topics of 'Smart maximum power point tracking in photovoltaic module arrays under partial shading'. Together they form a unique fingerprint.

Cite this