Optimal Power Smoothing Control Strategy of Photovoltaic-Energy Storage System Based on a Fast Particle Swarm Optimization

Photovoltaic power generation has become one of the state’s strategic emerging industries. So the related technology is more and more important. Since the power of photovoltaic system fluctuates randomly, it has drawn much attention to smooth the power output of photovoltaic power generation. An optimal power smoothing control strategy of photovoltaic-energy storage system (PESS) is proposed based on fast particle swarm optimization (FPSO). First, it presented a new mathematical model which contains three PESS cost index including power generation, environmental pollution, and waste of resource. Then, it implemented a new renew strategy. In the former part of renew strategy, the traditional method is used to enhance the global searching ability. While in the latter part, the steepest descent method is applied to improve the local searching ability. The validate results verified that the method is accurate, fast, and easy to be put into practice of realizing optimal power distribution.