上海交通大学学报 ›› 2026, Vol. 60 ›› Issue (4): 584-594.doi: 10.16183/j.cnki.jsjtu.2024.117

• 新型电力系统与综合能源 • 上一篇    下一篇

考虑微电网协同的线路冰灾下配电网韧性提升策略

方子闻1, 周永智1(), 但扬清2, 韦巍1   

  1. 1 浙江大学 工程师学院, 杭州 310015
    2 国网浙江省电力有限公司 经济技术研究院, 杭州 311500
  • 收稿日期:2024-04-08 修回日期:2024-05-11 接受日期:2024-06-07 出版日期:2026-04-28 发布日期:2026-04-29
  • 通讯作者: 周永智 E-mail:zhouyongzhi@zju.edu.cn
  • 作者简介:方子闻(1999—),硕士生,从事微电网资源优化调度方面研究.

Resilience Improvement Strategy of Distribution Network in Ice Disaster Considering Microgrids Coordination

FANG Ziwen1, ZHOU Yongzhi1(), DAN Yangqing2, WEI wei1   

  1. 1 Polytechnic Institute, Zhejiang University, Hangzhou 310015, China
    2 Economic and Technological Research Institute, State Grid Zhejiang Electric Power Co., Ltd., Hangzhou 311500, China
  • Received:2024-04-08 Revised:2024-05-11 Accepted:2024-06-07 Online:2026-04-28 Published:2026-04-29
  • Contact: ZHOU Yongzhi E-mail:zhouyongzhi@zju.edu.cn

摘要:

冰灾下线路断线严重影响配电网安全运行,含分布式资源微电网接入为提升配电网韧性提供了新手段.通过合理利用冰灾下微电网资源,提出一种微电网协同配电网的韧性提升策略,以充分发挥微电网中分布式电源及储能的紧急供电能力.首先,考虑线路覆冰灾害故障演化特性,构建配电网线路覆冰风险量化模型.然后,提出一种基于长-短周期混合时间尺度滚动的优化方法:长周期优化聚焦跨日时间尺度微电网储能预调度与配电线路修复策略;短周期日前优化由于应对新能源及冰灾故障演化所导致的网络拓扑变化的日间不确定性,并采用列与约束生成算法生成调度策略;长-短周期优化模型在灾害全周期内滚动进行.最后,采用改进IEEE标准33节点配电网对所提韧性提升策略有效性进行仿真验证.

关键词: 配电网韧性, 覆冰灾害, 混合周期滚动优化, 微电网, 储能调度

Abstract:

Line icing caused by ice disasters significantly affects the safety of distribution network. The advent of microgrid with energy storage provides a new method to enhance the resilience of the system. This paper proposes a resilience enhancement strategy for the coordinated operation of microgrids and distribution networks, fully leveraging the emergency power supply capabilities of distributed generation and energy storage systems of microgrids. First, considering the fault evolution characteristics of transmission line icing disasters, a quantitative risk assessment model for icing on distribution network lines is developed. Next, a rolling optimization approach based on a hybrid long-short time scale is proposed, in which the long-term optimization focuses on cross-day microgrid energy storage pre-dispatch and distribution line repair strategies, while the short-term day-ahead optimization mainly addresses intraday uncertainties caused by renewable energy variability and network topology changes induced by icing-related fault evolution, with scheduling strategies generated using a column-and-constraint generation algorithm. The long-and-short time-scale optimization models are executed in a rolling manner over the whole ice disaster period. Finally, the effectiveness of the proposed resilience enhancement strategy is validated through simulation studies on a modified IEEE standard 33-node distribution network.

Key words: resilience of distribution network, ice disaster, mixed timescale rolling-horizon optimization, microgrid, storage dispatch

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