含电动汽车、风力发电和无功补偿装置的配电网两阶段优化策略

Two-stage Optimization Strategy of Power Distribution Network for Electric Vehicles and Fans and Reactive Power Compensators

建立了含电动汽车、风力发电和无功补偿装置的配电网两阶段优化模型,以第1阶段用户充电成本最低为约束,建立电网负荷波动性最小的两阶段优化模型。采用多种群遗传优化算法(MPGA)对电动汽车无序充电、有序充电和有序充电加无功补偿装置3种情况进行仿真分析,结果表明:有序充电模型和有序充电加无功补偿装置模型均能降低用户的充电成本,但在考虑阶梯电价的机制下,后者比前者在降低负荷波动性方面具有更显著的作用。

A two-stage optimization model for a distribution network of electric vehicles,wind turbine generators and reactive power compensation devices was established and constrained by the first stage user’s lowest charging cost and a two-stage optimization model that takes into account the minimum power grid fluctuation was set up.Making use of the multi-group genetic optimization algorithm(MPGA)to simulate electric vehicle’s disorderly charging,orderly charging,and orderly charging plus reactive power compensation device was implemented to show that,the ordered charging model and the ordered charging plus reactive power compensation device model can reduce the user’s charging cost;considering the mechanism of the step price,the latter model has a significant role in reducing load fluctuations than the former one.