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作 者:王炜歆 张露元 王小君[2] 王希豪 刘曌 WANG Weixin;ZHANG Luyuan;WANG Xiaojun;WANG Xihao;LIU Zhao(State Grid Zhejiang Electric Power Company Haining Power Supply Company,Haining 314400,China;Beijing Jiaotong University,Beijing 100044,China)
机构地区:[1]国网浙江省电力有限公司海宁市供电公司,浙江海宁314400 [2]北京交通大学,北京海淀100044
出 处:《山东电力技术》2024年第8期18-26,共9页Shandong Electric Power
基 金:国家自然科学基金青年科学基金项目(52107068)。
摘 要:灾后故障恢复场景下,城市中分散的规模化电动汽车具备可观的放电潜力,能够支撑配电网关键负荷恢复供电,减少停电损失。但电动汽车用户不属于电网或企业,需要研究如何引导电动汽车用户,实现恢复效益最大化。提出一种计及电动汽车引导和网络重构的配电网负荷恢复策略。首先,分析电动汽车用户参与配电网故障恢复的过程,进而提出影响电动汽车用户参与恢复的关键因素,建立考虑电动汽车用户偏好的引导决策模型;然后,结合配电网网络重构恢复方法,考虑潮流约束、发电资源约束和电动汽车放电约束等,建立了计及电动汽车引导和网络重构的配电网故障恢复模型;最后,通过改进的IEEE 33节点算例验证。所提方法能够有效地求解恢复策略,在恢复期间保证重要负荷供电,提升电网韧性。In the post-disaster fault scenario,the decentralized large-scale electric vehicles in the city have considerable discharge potential,which can support the restoration of critical loads in the distribution system and reduce the loss of power outage.However,since electric vehicle users do not belong to the power grid or enterprises,it is vital to study how to guide electric vehicle users in order to maximize recovery benefits.A load restoration method is proposed for a distribution system,considering electric vehicle guidance and network reconfiguration.First,the process of EV users'participation in distribution network fault recovery is analyzed,and then the key factors affecting EV users'participation in restoration are proposed,and a guiding decision making model considering EV users'preferences is established.Then,combined with the distribution network reconstruction and restoration method,considering the power flow constraint,generation resource constraint and electric vehicle dischargeconstraint,a distribution system fault restoration model is established taking electric vehicle guidance and network reconstruction into account.Finally,the modified IEEE 33 node test system verifies that the proposed method can effectively solve the restoration strategy,ensure the power supply of critical loads during the restoration period,thus enhancing the resilience of the grid.
分 类 号:TM73[电气工程—电力系统及自动化]
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