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.
|頁（從 - 到）||629-636|
|期刊||ICIC Express Letters|
|出版狀態||Published - 2016 三月 1|
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Computer Science(all)