首页|基于移动储能和电动汽车V2G的弹性配电网经济性灾后恢复决策方法

基于移动储能和电动汽车V2G的弹性配电网经济性灾后恢复决策方法

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近年来,为应对频发的极端事件,配电网弹性提升技术迅猛发展.在实际应用中,技术方案经济成本过高成为制约其应用落地的重要因素.针对上述问题,本文提出了一个融合移动储能与电动汽车并网(V2G)技术的配电网弹性提升方案,其具体目标为优化灾后供电恢复过程中的经济成本,同时确保恢复效能.在灾害初期,通过建立预先的电动汽车调度模型来获取电动汽车的分布状况以及各个V2G站点的最大供电能力.接着,基于实际的道路网络规划和电力负荷数据,决定临时的移动储能(MESS)仓库的安置地点.在灾害后期,将恢复过程中的综合经济成本作为优化目标,通过调整V2G站点的输出和MESS的调度策略来进行优化决策.对所提方法运用多组算例进行了验证,仿真结果表明,所提协同恢复方案在降低系统灾后失电量的同时能够有效改善弹性策略的经济性.
Economic post-disaster restoration method of resilient distribution network based on mobile energy storage and electric vehicle V2G coordination
In recent years,the distribution network resilience enhancement technology developed in response to ex-treme events has developed rapidly.However,in practical applications,the high economic cost of technical solu-tions is one of the important factors restricting its implementation.Based on the above problems,this paper propo-ses an economic post-disaster restoration decision-making method for resilient distribution network with MESS and electric vehicle V2G,which reduces the economic cost of restoration while ensuring the restoration effect.In the pre-disaster stage,a pre-disaster electric vehicle scheduling model is established to obtain the distribution of elec-tric vehicles and the maximum output of each V2G station.According to the actual line layout and load informa-tion,the MESS temporary warehouse deployment location is determined.In the post-disaster stage,the comprehen-sive economic cost of post-disaster restoration is taken as the objective function to optimize the V2G station output and MESS scheduling in the restoration process.The proposed method is verified by multiple sets of examples.The simulation results show that the proposed collaborative restoration scheme can effectively improve the economy of the resilient strategy while reducing the post-disaster power loss of the system.

resilient power gridMESSV2Gelectric vehicleeconomic restorationextreme disaster

谢宇峥、章德、杨祺铭、李明昊、李更丰、邹文秋、别朝红

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国网湖南省电力有限公司经济技术研究院,湖南 长沙 410007

能源互联网供需运营湖南省重点实验室,湖南 长沙 410007

西安交通大学电气工程学院,陕西 西安 710049

弹性电网 移动储能 V2G 电动汽车 经济性恢复 极端灾害

国网湖南省电力有限公司科技项目

5216A221001K

2024

电工电能新技术
中国科学院电工研究所

电工电能新技术

CSTPCD北大核心
影响因子:0.716
ISSN:1003-3076
年,卷(期):2024.43(7)