基于博弈算法的电动汽车有序充电优化及效益分析
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TM73

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山东省自然科学基金资助项目(ZR2020ME194)

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    摘要:

    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。

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

    Under the background of the global energy crisis,electric vehicles have become increasingly popular. Disordered charging of large-scale electric vehicles has brought new electric pressure to the power system. It is particularly important to plan orderly charging of electric vehicles and solve the problem of peak-valley difference widening caused by charging. Based on the game theory,evaluating the peak shaving level by variance is proposed firstly. Users' waiting time for charging is considered. A game charging model based on revenue from selling power stations and user satisfaction of electric vehicles is established. Then,particle swarm optimization (PSO) algorithm is used to obtain the optimal strategy of both sides to achieve the game equilibrium. Finally,simulation analysis is carried out with a residential area of 600 households as an example. Simulation results show that the built model and solution strategy can optimize the charging behavior of electric vehicles,adjust the grid load variance to a large extent,and prevent the generation of new charging peaks. At the same time,on the basis of ensuring the power grid's peak and valley adjustment needs,the income of selling power station is increased and the travel needs of users are satisfied.

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马英姿,马兆兴.基于博弈算法的电动汽车有序充电优化及效益分析[J].电力工程技术,2021,40(5):10-16

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  • 收稿日期:2021-03-05
  • 最后修改日期:2021-06-02
  • 录用日期:2021-02-22
  • 在线发布日期: 2021-09-30
  • 出版日期: 2021-09-28