V2G技术参与微电网能量协调控制的仿真研究

Simulation Research of V2G Technology Participating in Energy Coordination Control of Microgrid

运用V2G技术将电动汽车作为发电调峰设备,可以有效改善城市用电高峰时段微电网负荷过高的负担。首先,建立了微电网应用V2G协调电能的数学模型,使用一种基于粒子群算法的调度策略;其次,提出了改进的PSO算法并进行仿真验证,将仿真结果与先前的粒子群算法进行对比,仿真结果表明:应用电动汽车V2G技术可平滑电网日负荷曲线,协调微电网电能实现"削峰填谷",且该算法较之前算法在效果上更加突出;最后,提出了V2G技术在未来发展的方向与建议。

By actively studying V2G technology and using electric vehicles as peak-load regulating equipment,we can effectively improve the overburden of power grid during peak hours of urban electricity consumption.In this paper,a mathematical model for V2G coordinated power utilization in microgrid is established.Based on a particle swarm optimization(PSO)scheduling strategy,the original algorithm is improved.The optimized particle swarm optimization algorithm is used to do simulation verification,and the simulation results are compared with the previous particle swarm optimization algorithm.The results show that the V2G technology of electric vehicle can smooth the daily load curve of power grid.The power of the microgrid has been coordinated,and the“peak shaving and valley filling”has been realized.And the effect of this algorithm is more prominent than before.Finally,the direction and suggestions for future development of V2G technology are put forward.