Optimized Configuration of Microgrid Capacity Considering Electric Vehicle Load
With the promotion of the goals of"Carbon Peaking and Carbon Neutrality"and the rapid development of distributed new energy,the power grid is facing enormous challenges.In order to balance the volatility of electric vehicles and the randomness of new energy output,alleviate the impact of wind and solar power abandonment and large-scale electric vehicle integration on the power grid,Monte Carlo method was used to simulate the data of electric vehicle integration.At the same time,combined with the electric vehicle load transfer strategy,the microgrid was optimized and configured,and a microgrid optimization configuration model with annual equivalent income as the optimization goal was established,and the configuration results were evaluated.The model was solved by using scene reduction method and improved particle swarm optimization algorithm.The example results demonstrate the rationality and economy of the optimized configuration model.
Monte Carlo methodelectric vehiclemicrogrid optimization configurationscenario reduction methodimproved particle swarm optimization algorithm
万方数据
维普
