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随着电动汽车使用规模的扩大,传统集中调度的模式在优化算法上引发了“维数灾”的问题,为此引入竞争市场,提出了对电动汽车负荷进行多代理商管理的模式,有效降低了算法规模。在该模式下,提出基于博弈论的代理商决策优化模型,并针对含对手策略的0-1整数规划问题,提出仿蛛网算法和时间分块的方法。以锂离子电池电动汽车和铅酸蓄电池电动汽车为例进行仿真,结果表明,该决策优化模型可以有效提高代理商的利润。
With the expansion of the use of electric vehicles, the traditional centralized scheduling model has triggered the problem of “dimensional disaster” in the optimization algorithm. To this end, a competitive market has been introduced and a multi-agent management model for electric vehicle load has been proposed. Effectively reduce the size of the algorithm. In this model, a decision-making optimization model of agents based on game theory is proposed, and a method of imitating cobwebs and time-blocking is proposed for the 0-1 integer programming problem with opponent strategy. Taking Li-ion battery electric vehicles and lead-acid battery electric vehicles as examples, the simulation results show that the decision optimization model can effectively improve the profits of agents.