Optimal power dispatch of photovoltaic system with random load

Recent advances in photovoltaic (PV) technologies have brought very promising opportunities for the utilization of renewable solar energy systems. The power generation performance of PV system can be influenced by random insolation level, cell temperature, fault level of PV arrays and the output voltage level. It is very necessary to track and dispatch the power of PV system especially when it is used to supply energy to random load. In this paper, an integrated scheme for optimal power tracking of PV system has been proposed, where artificial neural network (ANN) is first used to predict the insolation level and then the genetic algorithm (GA) is utilized to optimize the power generation of the PV system. A optimal control module is designed to optimally dispatch the power of PV system with battery storage when it supplies power to a distribution system with random load. Simulations results have shown the effectiveness of the proposed integrated optimal power tracking and dispatching scheme.