电动汽车虚拟电厂的多时间尺度响应能力评估模型

从电动汽车集群运营商的角度,对电动汽车虚拟电厂(EVPP)参与电力系统优化调度时的多时间尺度响应能力进行评估。首先,考虑包含荷电状态与充放电状态在内的电动汽车时序状态,建立了单一和连续时间断面单体电动汽车响应能力模型。在此基础上,提出了包含日前和日内修正的EVPP多时间尺度响应能力评估模型:在日前利用电动汽车状态预测数据对EVPP日前响应能力进行评估;在日内根据一种综合考虑响应时间裕度和荷电状态裕度指标的EVPP调控策略确定具体调控结果,进而对日前响应能力评估结果进行修正,在有效跟踪系统调控目标的同时实现EVPP响应能力动态更新。最后,以包含3种不同交通用途类型的电动汽车集群为例,验证了EVPP多时间尺度响应能力评估模型及调控策略的有效性。

Response Capability Evaluation Model with Multiple Time Scales for Electric Vehicle Virtual Power Plant

From the perspective of electric vehicle(EV)aggregator operators, the response capability with multiple time scales of electric vehicle virtual power plant(EVPP)participating in the market optimal dispatch is evaluated. Firstly, considering the response state of the state of charge(SOC)and charging-discharging state of EVs, a single EV response capability model for single and continuous time points is established. Based on this model, the EVPP response capability evaluation model with multiple time scales is proposed including the day-ahead and the intra-day response capability. The day-ahead response capability of EVPP is evaluated by prediction data of EVs state, and an EVPP control strategy which combines the response time margin and the SOC margin index is used to modify the evaluation results of the response capability in order to track the target of the system dispatch effectively. Finally, taking the EV aggregator with three different types of transportation as an example, the EVPP response capability evaluation model with multiple time scales and the effectiveness of the dispatch and control strategy are verified.