Cyber-physical collaborative distribution network compound fault restoration strategy

WEI Ran; SHEN Xingjie; YAN Chongsong; WANG Kaiqiang

doi:10.11959/j.issn.1000-0801.2025267

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Cyber-physical collaborative distribution network compound fault restoration strategy

Engineering and Application | 更新时间：2026-08-05

- Cyber-physical collaborative distribution network compound fault restoration strategy
- Telecommunications Science Vol. 41, Issue 12, Pages: 199-213(2025)
- 作者机构：
  
  1.国网天津市电力公司，天津 300010
  2.国网天津市电力公司城南供电分公司，天津 300202
- 作者简介：
- 基金信息：
  
  The Science and Technology Foundation of State Grid Tianjin Electric Power Company(城南-研发2024-01)
- DOI：10.11959/j.issn.1000-0801.2025267
  CLC： TN915;TP393
- Received：03 June 2025，
  
  Revised：2025-09-30，
  
  Accepted：15 October 2025，
  
  Online First：08 January 2026，
  
  Published：20 December 2025
- 稿件说明：
移动端阅览
魏然,沈兴杰,闫崇松等.信息物理协同的配电网复合故障恢复策略[J].电信科学,2025,41(12):199-213.

WEI Ran,SHEN Xingjie,YAN Chongsong,et al.Cyber-physical collaborative distribution network compound fault restoration strategy[J].Telecommunications Science,2025,41(12):199-213.
魏然,沈兴杰,闫崇松等.信息物理协同的配电网复合故障恢复策略[J].电信科学,2025,41(12):199-213. DOI： 10.11959/j.issn.1000-0801.2025267.

WEI Ran,SHEN Xingjie,YAN Chongsong,et al.Cyber-physical collaborative distribution network compound fault restoration strategy[J].Telecommunications Science,2025,41(12):199-213. DOI： 10.11959/j.issn.1000-0801.2025267.

摘要

高比例分布式光伏接入引入的不确定性以及雪花型复杂拓扑结构引发的故障传播路径模糊，共同加剧了配电网在复合故障下的脆弱性。传统恢复策略难以兼顾动态负荷需求、分布式电源调度以及信息物理跨域耦合，且受限于静态规则与计算效率瓶颈。为此，提出一种信息物理协同的复合故障恢复策略。首先，构建多属性动态决策模型，采用动态的基于准则间相关性的准则重要性（criteria importance through intercriteria correlation，CRITIC）评估法与跨域混合中心性指标，通过滑动时间窗自适应分配权重，捕捉通信时延与受控于通信系统的潮流调节行为之间的时空关联特征。其次，建立双层联合防护规划框架，上层在预算约束下协同优化加固与冗余策略以提升系统韧性，下层动态修正运行安全边界。最后，设计增强型Edmonds-Karp算法，引入势差驱动机制与混合权重割集模型，以最小化隔离代价与最大化恢复流量为目标，输入为信息物理耦合网络状态量，输出为最优割集与恢复路径，有效提升了故障隔离与恢复效率。IEEE算例仿真表明，所提策略显著提升了复合故障场景下的恢复效率与系统韧性。

Abstract

The integration of high-penetration distributed photovoltaics introduces significant operational uncertainties

while complex snowflake-like topologies obscure fault propagation paths

jointly increasing distribution network vulnerability under compound cyber-physical faults. Traditional restoration strategies face challenges in coordinating dynamic load demands

distributed generation scheduling

and cross-domain couplings

constrained by static rules and computational limitations. To address this issue

a cyber-physical collaborative compound fault restoration strategy was proposed. Firstly

a multi-attribute dynamic decision-making model was constructed. The dynamic criteria importance through intercriteria correlation (CRITIC) evaluation method and cross-domain hybrid centrality indicators were adopted. Weights were adaptively allocated through a sliding time window to capture the spatio-temporal correlation characteristics between communication delays and power flow regulation behaviors controlled by the communication system. Secondly

a two-tier joint protection planning framework was established. The upper tier collaboratively optimized the reinforcement and redundancy strategies under budget constraints to enhance system resilience

while the lower tier dynamically revised the operational safety boundaries. Finally

an enhanced Edmonds-Karp algorithm was designed. A potential difference-driven mechanism and a hybrid weight cut-set model were introduced

aiming to minimize the isolation cost and maximize the restoration flow. With the input being the cyber-physical coupled network state variables and the output being the optimal cut-sets and restoration paths

the fault isolation and restoration efficiency were effectively improved. IEEE case study simulations demonstrate that the proposed strategy significantly enhances the restoration efficiency and system resilience in compound fault scenarios.

关键词

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references

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