| 引用本文: | 黄婧杰,聂焕,张荐,童小娇,周任军.主动配电网灾后韧性提升的孤岛划分与故障抢修协同方法[J].电力自动化设备,2025,45(10):128-134. |
| HUANG Jingjie,NIE Huan,ZHANG Jian,TONG Xiaojiao,ZHOU Renjun.Collaborative method of island partition and fault repair for post-disaster resilience enhancement in active distribution network[J].Electric Power Automation Equipment,2025,45(10):128-134. |
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| 摘要: |
| 针对极端事件下主动配电网(ADN)灾后的运行与恢复问题，提出了一种孤岛划分与故障抢修协同的韧性提升方法。结合系统性能曲线构建反映系统恢复状态和恢复过程的韧性评价指标。建立以系统恢复状态指标最大化为目标的孤岛划分模型，模型中的网络拓扑重构采用有向多商品流模型，以更好地匹配和提高分布式电源(DG)的利用率；建立以系统恢复过程指标最大化为目标的故障抢修模型，以加快恢复对失电负荷的供电；2个模型在灾后降额运行与故障恢复阶段动态交互、协同以提升系统韧性。算例结果表明，该方法相较于传统基于生成树约束的孤岛划分模型和以负荷重要程度制定的故障抢修策略能提高系统灾后供电量。利用联络支路的灵活性和抢修资源的可调度性，挖掘各类DG的响应潜能，进而提升ADN灾后韧性。 |
| 关键词: 主动配电网 协同优化 孤岛划分 故障抢修 韧性 |
| DOI：10.16081/j.epae.202507028 |
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| 基金项目:国家自然科学基金资助项目(52307078,12331011)；湖南省自然科学基金资助项目(2025JJ50282) |
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| Collaborative method of island partition and fault repair for post-disaster resilience enhancement in active distribution network |
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HUANG Jingjie1, NIE Huan1, ZHANG Jian2, TONG Xiaojiao3, ZHOU Renjun1
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1.State Key Laboratory of Disaster Prevention & Reduction for Power Grid, Changsha University of Science & Technology, Changsha 410114, China;2.China Electric Power Research Institute, Beijing 100192, China;3.Hunan First Normal University, Changsha 410205, China
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| Abstract: |
| A collaborative method of island partition and fault repair for resilience enhancement is proposed for the post-disaster operation and restoration of active distribution network(ADN) under extreme events. The resilience evaluation indexes reflecting the recovery state and recovery process of the system are constructed by combining the system performance curves. An island partition model is established with the goal of maximizing the system recovery state index, in which the network topology reconfiguration adopts a directed multi-commodity flow model to better match and improve the utilization rate of DGs(distributed generations). A fault repair model is established with the goal of maximizing the system recovery process index to accelerate the restoration of power supply to the lost loads. The two models interact dynamically and synergistically to improve the system toughness in the process of post-disaster operation and restoration. Example results show that the proposed method can improve the system power supply after a disaster compared with the traditional islanding model based on spanning tree constraints and the fault repair strategy based on load importance. By utilizing the flexibility of tie branches and the dispatchability of repair resources, the response potential of various types of DGs can be exploited, which can in turn enhance the post-disaster resilience of ADN. |
| Key words: active distribution network co-optimization island partition fault repair resilience |
