文章摘要
张亚朋,穆云飞,贾宏杰,等.电动汽车虚拟电厂的多时间尺度响应能力评估模型[J].电力系统自动化,2019,43(12):94-103. DOI: 10.7500/AEPS20180731009.
ZHANG Yapeng,MU Yunfei,JIA Hongjie, et al.Response Capability Evaluation Model with Multiple Time Scales for Electric Vehicle Virtual Power Plant[J].Automation of Electric Power Systems,2019,43(12):94-103. DOI: 10.7500/AEPS20180731009.
电动汽车虚拟电厂的多时间尺度响应能力评估模型
Response Capability Evaluation Model with Multiple Time Scales for Electric Vehicle Virtual Power Plant
DOI:10.7500/AEPS20180731009
关键词: 电动汽车  虚拟电厂  多时间尺度  响应能力  调控策略
KeyWords: electric vehicles  virtual power plant  multiple time scales  response capability  dispatch and control strategy
上网日期:2019-05-06
基金项目:国家自然科学基金资助项目(U1766210);国家电网有限公司科技项目“能源互联网环境下的多源互联配电网及多样化用电方式的需求策略系统研究”;天津市科技计划资助项目(18YFZCGX00570)
作者单位E-mail
张亚朋 智能电网教育部重点实验室(天津大学), 天津市 300072  
穆云飞 智能电网教育部重点实验室(天津大学), 天津市 300072 yunfeimu@tju.edu.cn 
贾宏杰 智能电网教育部重点实验室(天津大学), 天津市 300072  
王明深 智能电网教育部重点实验室(天津大学), 天津市 300072  
周宇 国网江苏省电力有限公司盐城供电分公司, 江苏省盐城市 224005  
胥峥 国网江苏省电力有限公司盐城供电分公司, 江苏省盐城市 224005  
摘要:
      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。
Abstract:
      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.
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