Optimization and improvement method for complementary power generation capacity of wind solar storage in distributed photovoltaic power stations

Abstract

With the increasing energy demand, distributed photovoltaic power generation and wind energy are used as new energy sources for sustainable development. To solve this problem, this paper optimizes and improves the distributed photovoltaic power station. This project will fully consider the complementary relationship between photovoltaic, wind and energy storage, and optimize the charging and discharging strategy of energy storage batteries. An optimal scheduling method based on fuzzy C-mean clustering is proposed to improve the power supply reliability and energy utilization of distributed photovoltaic power generation systems. The test results show that the output of the wind turbine and solar cell designed in this paper is quite high, and has good tracking ability. The research results of this project will provide an effective way to efficiently utilize wind energy and wind energy resources in distributed photovoltaic power stations.