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考虑电动汽车接入的主动配电网优化调度 被引量:15

Optimal dispatching of active distribution network considering electric vehicle access
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摘要 主动配电网(ADN)中可再生能源与电动汽车的大量接入给当前配电网的规划、建设、调度和运行带来了诸多挑战。文中研究和设计综合考虑源、网、荷侧不确定因素的ADN优化调度方法,对实际配电网运行具有重要指导意义。首先建立ADN综合评估体系,分别从主动控制性、主动管理性和主动经济性三方面衡量ADN的优化调度水平。而后,依据综合评估体系,提出考虑电动汽车智能调度系统的多阶段优化方法,该方法不仅可平抑间断性电源和电动汽车接入电网引起的波动,还可实现当前配电网结构和资源的优化调度。因此,所提方法可被广泛运用于电力系统日前调度,实现ADN的高效运行和管理。 The massive access of renewable energy and electric vehicles in the active distribution network(ADN)has brought many challenges to the planning,construction,dispatch and operation of the current distribution network.By comprehensively considering the uncertain factor like source,network and load side,the research and design of the ADN optimization dispatching method have important guiding significance for the actual operation of the distribution network.Firstly,an ADN comprehensive evaluation system is established to measure the optimal dispatch level of ADN from three aspects which are active controllability,active management and active economy.Then,based on the comprehensive evaluation system,a multi-stage optimization method considering the intelligent dispatching system of electric vehicles is proposed.This method only smoothes the fluctuations caused by intermittent power supply and electric vehicles connected to the grid,but also realizes the optimal dispatch of the current distribution network structure and resources.Therefore,the proposed method can be widely used in the day-ahead scheduling of power system to realize the efficient operation and management of ADN.
作者 诸晓骏 陈曦 李妍 王球 王琼 李泽森 ZHU Xiaojun;CHEN Xi;LI Yan;WANG Qiu;WANG Qiong;LI Zesen(State Grid Jiangsu Electric Power Co.,Ltd.Economic Research Institude,Nanjing 210008,China)
出处 《电力工程技术》 北大核心 2021年第3期141-147,共7页 Electric Power Engineering Technology
基金 国网江苏省电力有限公司科技项目(J2019054)资助
关键词 主动配电网(ADN) 电动汽车有序充电 配电网综合评估体系 分布式电源(DG) 源网荷调度 active distribution network(ADN) orderly charging of electric vehicles comprehensive evaluation system of distribution network distributed generation(DG) source-network-demand scheduling
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