中文摘要：

电力市场的发展以及电动汽车的大规模应用,使得电动汽车代理能够通过参与市场竞标减少电动汽车用户的充电成本。在此背景下,以电动汽车代理竞标行为会影响市场电价为前提,将其他竞标者的报价参数作为模糊变量,电动汽车行为视为随机变量,构造了电动汽车代理参与日前和实时电能市场的二层竞标策略模型,上层以充电成本最低为目标决策最优竞标策略,下层为日前和实时电能市场的出清模型。该竞标策略模型包含了随机和模糊两类不确定变量,属于随机模糊规划问题,采用基于不确定理论的方法求解。算例分析说明了模型及求解算法的有效性,其结果表明所提竞标策略能够有效降低电动汽车充电成本。

英文摘要：

ABSTRACT：Withrapid development of electricity market and electric vehicle （EV）,EVaggregator can help EV usersto decrease charging costs by bidding in electricity market. Bidding model of an aggregatorparticipating in day-ahead and real-time electricity market was proposed with objective of minimizing charging costs while satisfying EVs＆#39; flexible demand.The aggregator was assumed to potentially influence pricesinday-ahead and real-time market.Bidding strategy of the aggregator was formulated as a bi-level model,withthe upper level model representingcharging cost minimization of the aggregator, whereas the lower level model representing market clearing providingmarket price and energy for the upper level model.Bids of other market participants and EV driving pattern werenotknown to the aggregator in advance. They were seen as fuzzy variables and random variables. Uncertainty theory was used to solve thisrandom-fuzzy programming problem. A numerical example was used to illustrate feasibility of the proposed method.The results indicate that the bidding strategycandecrease EVs’charging costs effectively.