计及电动汽车和柔性负荷的微电网能量调度

Microgrid energy scheduling with electric vehicles and flexible loads

针对近年来电动汽车(electric vehicle,EV)数量的不断增加和分布式发电的快速发展对电网造成巨大冲击的问题,提出了综合考虑电动汽车和柔性负荷等可控资源的优化调度方案,降低微电网运行成本并减少了对电网的冲击。首先建立考虑电动汽车和各种柔性负荷的“源-网-荷-储”微电网典型拓扑结构。然后对微电网中可调节资源进行建模,并考虑不同渗透率及电动汽车数量下峰谷平时段的重新划分,求解不同渗透率、储能容量及电动汽车数量下微电网的最低运行成本,同时确定最优微电网配置方案。最后通过仿真验证表明,所提优化方案可以在微电网运行成本降低8.1%的同时,将联络线功率波动维持在50 kW以内并且保持较高的柔性负荷用户满意度。

In response to the increasing number of electric vehicles(EVs) and the rapid development of distributed generation in recent years,which has caused a significant impact on the power grid,this paper proposes an optimal scheduling scheme that comprehensively considers controllable resources such as electric vehicles and flexible loads,reducing the operating costs of micro power grids and reducing the impact on the power grid.First,a typical "source-grid-load-storage" microgrid topology considering electric vehicles and various flexible loads is established.Then,it models the adjustable resources in the microgrid,considers the redistribution of peak and valley periods under different permeabilities and different numbers of electric vehicles,calculates the minimum operating cost of the microgrid under different permeabilities,energy storage capacities,and numbers of electric vehicles,and determines the optimal microgrid configuration scheme.Finally,simulation results show that the proposed optimization scheme can reduce the operating cost of the microgrid by 8.1%,while maintaining contact line power fluctuations to 50 kW or less and maintaining high user satisfaction with flexible loads.