Optimization of renewable energy and electric vehicle charging based on multi particle swarm optimization algorithm

In order to enhance the on-site consumption of distributed renewable energy, fully consider the charging timing requirements of electric vehicles in urban areas, maintain the electricity balance of the distribution network, and ensure the stable operation of the power system, this article fully considers the charging timing requirements of electric vehicles in urban areas, while maintaining the electricity balance of the distribution network and the stable operation of the power system, Analyze the output law of photovoltaic distributed power generation and the characteristics and constraints of electric vehicle charging peak valley time series. Use particle swarm optimization algorithm to establish the optimal plan for distributed generation target, charging, and energy storage configuration, and verify its effectiveness and applicability through data validation.