基于储能型智能软开关联合网络重构的配电网供电恢复策略
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湖南省教育厅科学研究基金资助项目(22C0308)


Power Supply Restoration Strategy for Distribution with Integrated Network Reconstruction Based on Energy Storage Intelligent Soft Switches
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    摘要:

    为应对自然灾害、网路攻击等极端事件导致的停电事故,并降低电网的失负荷率与经济损失,提出了一种极端事件下储能型智能软开关(energy storage integrated soft open point,E-SOP)联合网络重构的主动配电网供电恢复策略。首先,介绍了E-SOP接入配网的拓扑结构示意图,并建立其在故障恢复下的数学模型。其次,考虑三级负荷的重要程度和网络损耗,以配网各节点损失程度和网络损失最小为目标函数,构建E-SOP和网络重构联合进行供电恢复的运行模型,实现极端事件下主动配电网的快速恢复。最后,以改进的IEEE33节点配电网为例分别研究了E-SOP安装容量、位置、数量等参数对电网恢复能力的影响,并对其供电恢复策略进行验证分析。研究结果表明:所提策略可减少配电网故障下的失负荷率,进一步提升供电恢复水平。

    Abstract:

    In view of power outages caused by extreme events such as natural disasters and cyber attacks, and a reduction of the load loss rate and economic losses of the power grid, an active distribution network power supply restoration strategy has thus been proposed with energy storage integrated soft open point (E-SOP) combined with network reconstruction under extreme events. Firstly, with an introduction of the topology diagram of E-SOP connected to the distribution network, its mathematical model under fault recovery is established. Secondly, taking into consideration the importance of the tertiary load and network losses, with the objective function of minimizing the loss of each node in the distribution network and minimizing network losses, a joint operation model of E-SOP and network reconstruction for power supply recovery is constructed for a rapid recovery of the active distribution network under extreme events. Finally, taking the improved IEEE33 node distribution network as an example, a research is carried out on the effects of E-SOP installation parameters such as capacity, location, and quantity on the restoration capability, followed by a validation and analysis of the proposed power restoration strategy. The research results indicate that the proposed strategy helps to reduce the loss of load rate under distribution network faults, thus further improving the level of power supply recovery.

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喻 希,杨 杉,兰 征,高芷蓉.基于储能型智能软开关联合网络重构的配电网供电恢复策略[J].湖南工业大学学报,2025,39(1):35-42.

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  • 收稿日期:2023-05-31
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  • 在线发布日期: 2024-11-04
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