Global Maximum Power Point Tracking of Photovoltaic Module Arrays Based on Improved Artificial Bee Colony Algorithm

In this paper, an improved artificial bee colony (I-ABC) algorithm for the maximum power point tracking (MPPT) of a photovoltaic module array (PVMA) is presented. Even though P-V output characteristic curve with multi-peak was generated due to any damages or shading discovered on PVMA, I-ABC could get rid stuck local (LMPP), but quickly and stably track global (GMPP), thereby improving generation efficiency. This proposed search higher PVMA by small colony, determine next direction through perturb observe (P&O) method, keep until GMPP obtained. method prevent too long applying colony. First, in study, modules produced Sunworld Co., Ltd. were used configured as four series three parallel connections under different numbers shaded ratios, so that corresponding curves values generated. Then, tracked MPPT method. The simulation experimental results showed performed better both dynamic response steady-state performance than traditional (ABC) algorithm. According results, it accuracy based 100 iterations 5 ratios about 100%; other hand, ABC 70%, P&O lower at 30%.