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基于V2G潜力模糊评估与移动储能协调调度的灾后供电恢复策略

Post-disaster power supply restoration strategy based on V2G potential fuzzy evaluation and mobile energy storage coordinated scheduling
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摘要 目前用户侧电动汽车(EV)等新型应急资源尚未形成系统化调配机制。对此,提出一种考虑EV与电网互动(V2G)潜力模糊评估与移动式储能协调调度的灾后供电恢复策略。在固定式可调配能源有限的前提下,将V2G加入配电网孤岛主动划分与移动式储能对电能的时空转移协调调度过程中,建立孤岛间的能量连接,保证供电连续性与稳定性。考虑主客观影响因素,运用模糊模型评估EV响应潜力,引导EV集群参与供电恢复,提高可调度容量利用率。结合配电网运行约束,建立以停电损失与恢复资源调度成本最小化、电动汽车聚合商收益最大化为目标的灾后恢复模型,兼顾电网侧、电动汽车聚合商、用户的利益,降低灾后停电损失。设立评估指标,在仿真算例中验证所提策略的有效性与经济性。 In the current research landscape,there lacks a systematic deployment mechanism for new emergency resources such as electric vehicle(EV)from user side.A post-disaster power supply restoration strategy that considers the fuzzy assessment of vehicle-to-grid(V2G)potential and the coordinated scheduling of mobile energy storage is proposed to address the above issues.Under the premise of limited fixed dispa-tchable energy,V2G is added to the coordinated scheduling process including the active division of distribution network islands and the spatio-temporal transfer of electric energy by mobile energy storage,so as to establish the energy connection between islands and ensure the continuity and stability of power supply.Considering subjective and objective influencing factors,the fuzzy model is used to evaluate the EV response potential,in order to guide EVs to participate in power supply restoration and improve the utilization rate of schedulable capacity.Combined with the operation constraints of the distribution network,a post-disaster restoration model is established with the goal of minimizing the power failure loss and restoration resource scheduling cost,and maximizing the profit of electric vehicle aggregation,taking into account the interests of the grid side,the electric vehicle aggregation and users,and reducing the loss of post-disaster power failure.The evaluation indicators are set up to verify the effectiveness and economy of the proposed strategy in a simulation example.
作者 刘俊琳 朱振山 温步瀛 LIU Junlin;ZHU Zhenshan;WEN Buying(College of Electrical Engineering and Automation,Fuzhou University,Fuzhou 350108,China;Fujian Province University Engineering Research Center of Smart Distribution Grid Equipment,Fuzhou 350108,China)
出处 《电力自动化设备》 EI CSCD 北大核心 2024年第9期89-97,共9页 Electric Power Automation Equipment
基金 国网福建省电力有限公司科技项目(52130N220012)。
关键词 配电网供电恢复 移动储能 电动汽车 V2G 模糊推理 配电网重构 power supply restoration of distribution network mobile energy storage electric vehicles vehicle-to-grid fuzzy reasoning distribution network reconfiguration
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