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作 者:赵俊雄 郑梦莲 俞自涛[1] ZHAO Jun-xiong;ZHENG Meng-lian;YU Zi-tao(College of Energy Engineering,Zhejiang University,Hangzhou 310027,China)
出 处:《能源工程》2020年第5期84-91,共8页Energy Engineering
基 金:国家重点研究计划项目(2016YFB0901100)。
摘 要:以家庭为研究对象,研究储能和电动车集群协同参与需求响应的控制策略及经济可行性。在实际再分配电价制度下,提出了一种基于优先级的储能和电动车集群协同调度的需求响应策略,以最小化全年总成本为目标,通过遗传算法优化得出了储能设计参数和能源系统控制参数,对比了不采用需求响应和只利用储能提供需求响应的两种案例。研究结果表明,相比于不采用需求响应和只利用储能提供需求响应的两种对比案例,提出的策略能够分别削减59.8%和27.2%的全年用电总成本。同时,相比于只利用储能提供需求响应的情况,提出的储能和电动车集群协同控制策略能够削减储能成本,同时避免储能长时间失效。此研究结果对于家庭集群实现基于储能和电动车的需求响应具有指导意义。Collaborative control strategies and economic feasibilities of residential storage and electric vehicles for providing demand response under a realistic redistribution tariff were studied.A priority-based collaborative control strategy for a group of storage and electric vehicles to provide demand response was proposed and the sizing and control parameters of storage were optimized by adopting the genetic algorithm to minimize the annual electricity cost for an average household.Compared the cases with no demand response with only storage to provide demand response,the simulative results showed that the proposed strategy with the collaborative control over residential storage and electric vehicles reduced the annual electricity cost for an average household by 59.8%and 27.2%,respectively.Compared the strategy that utilizes storage rather than storage and electric vehicles to provide demand response,the proposed strategy further reduced storage cost and avoided the potential long-term failure of storage.Results of the present study can be adopted to the combined dispatch of residential storage and electric vehicles to provide demand response for a community of households.
分 类 号:TK-9[动力工程及工程热物理]
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