基于积分制和分时电价的电动汽车混合型精准需求响应策略  

Hybrid targeted demand response strategy of electric vehicles based on integral system and time-of-use electricity price

作　　者：洪奕 刘瑜俊[1] 徐青山[1] 尹宏源 黄煜[1] 胡澄 HONG Yi;LIU Yujun;XU Qingshan;YIN Hongyuan;HUANG Yu;HU Cheng(School of Electrical Engineering,Southeast University,Nanjing 210096,China)

机构地区：[1]东南大学电气工程学院,江苏南京210096

出　　处：《电力自动化设备》2020年第11期106-114,共9页Electric Power Automation Equipment

基　　金：国家重点研发计划项目(2017YFA0700300);国网天津市电力公司科技项目(kj17-1-02)。

摘　　要：针对当前我国绝大部分城市还难以大规模地实现电动汽车需求响应的情况,开展了配电网中电动汽车充电需求响应研究,提出一种基于积分制和分时电价的电动汽车混合型精准需求响应策略。该策略的目的是在降低电网灵活性资源的投资成本、负荷峰谷差和不匹配功率的同时,降低电动汽车用户的充电成本。基于带精英策略的快速非支配排序遗传算法对多目标优化模型进行求解,并考虑了用户响应不确定性和响应策略的多样性。仿真结果表明所提混合型精准需求响应策略可以降低用售双方的成本,实现负荷削峰填谷和平抑不匹配功率,且都优于单一型需求响应策略。In view of the current situation that it is difficult to realize the large-scale demand response of EVs(Electric Vehicles)in most cities of China,the research on the charging power demand response of EVs in distribution network is carried out,and a HTDR(Hybrid Targeted Demand Response)strategy of EVs is proposed based on the integral system and time-of-use electricity price.The aim of this strategy is to reduce the investment costs of flexibility resources in power grid,the peak and valley load difference and the mismatched power,and at the same time reduce the charging cost of EV users.The multi-objective optimization model is solved by NSGA-Ⅱ(fast and elitist Non-dominated Sorting Genetic Algorithm-Ⅱ),and the uncertainty of user response and the diversity of response strategies are considered.Simulative results show that the proposed HTDR strategy can reduce the costs of both sellers and buyers,realize peak load shifting and smooth the unbalanced power,and is superior to the single demand response strategy.

关 键 词：电动汽车 需求响应 积分制 分时电价 精准营销 

分 类 号：U469.72[机械工程—车辆工程]