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

Abstract

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