基于博弈算法的电动汽车有序充电优化及效益分析

全球能源危机背景下,电动汽车日益普及,大规模电动汽车无序充电给电力系统带来新的用电压力。规划电动汽车有序充电、解决充电导致的峰谷差扩大问题尤为重要。文中首先以博弈论为基础,提出以方差评估调峰水平,考虑用户充电等待时间,建立售电站收益-电动汽车用户满意度博弈充电模型。然后,利用粒子群优化算法求解双方最优策略,达到博弈均衡。最后,以600户家庭的居民小区为例进行仿真分析。结果表明,所建模型和求解策略能够优化电动汽车充电行为,较大程度调节电网负荷方差,防止产生充电新高峰,同时,在保证电网峰谷调节需求的基础上,可提高售电站收益,满足用户出行需求。

Orderly charging optimization and benefit analysis of electric vehicles based on game algorithm

The popularity of electric cars is bound to bring new electricity power system pressure, especially the disordered charge. Resolving the peak valley spread caused by electric vehicle charging problem, game theory is put forward to study orderly electric vehicle charging, charging station utility maximization model is established and the electric car user satisfaction maximization model in this paper, through the analysis of the two game strategy space and dynamic game behavior, using particle swarm algorithm to solve the model of optimal strategies for optimal solution, taking a community of 600 households as the simulation model for disordered charge and the optimized charge simulation. The simulation results show that the ordered charging strategy proposed in this paper can adjust load variance to a greater extent, which can not only ensure the peak and valley adjustment needs of the network, but also meet the travel needs of users.