Robust optimum design of maximum power point tracker for photovoltaic power generation systems

Abstract The photovoltaic array’s power-voltage curve usually appears multiple peaks in the presence of partial occlusion and fault conditions, habitual maximum power point tracking (MPPT) algorithm is not easy to discover MPP global space, thus falling into local range, which extremely decreases efficiency generation system. In this paper, a robust optimum design technology employing an enhanced terminal attractor (ETA) monkey-king genetic (MKGA) are put forward. proposed can be adopted for tracker system, therefore yielding fast limited-time convergence extremum. system also implemented on basis Texas Instruments digital signal processor, achieve improvement speed good performance transient as well steady-state. Simulation experimental results have been provided demonstrate virtue technology.