Research on real time topology identification technology for fault restoration in distribution network

杨 乐; 徐正宏; 朱 莹; 常 颢; 鞠 玲

doi:10.3969/j.issn.1009-1831.2025.03.018

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Research on real time topology identification technology for fault restoration in distribution network

更新时间：2026-03-05

- Research on real time topology identification technology for fault restoration in distribution network
- Vol. 27, Issue 3, (2025)
- 作者机构：
  
  国网江苏省电力有限公司泰州供电分公司,江苏,泰州,225300
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1009-1831.2025.03.018
  CLC：
- Published：2025
- 稿件说明：
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杨乐, 徐正宏, 朱莹, et al. Research on real time topology identification technology for fault restoration in distribution network[J]. 2025, 27(3).
DOI：

杨乐, 徐正宏, 朱莹, et al. Research on real time topology identification technology for fault restoration in distribution network[J]. 2025, 27(3). DOI： 10.3969/j.issn.1009-1831.2025.03.018.

摘要

随着分布式能源接入配电网，其结构愈发复杂，故障率也有所增加。配电网故障恢复有助于快速恢复供电，提高电力系统的稳定性和可靠性。配变智能终端（distribution transformer supervisory terminal unit，TTU）的大量安装，为配网故障恢复提供了数据支撑。重点研究了考虑TTU数据量测误差的配电网实时拓扑辨识技术。首先，在分析TTU量测数据的基础上，构建了以功率残差最小为目标的拓扑辨识优化方程。然后，针对优化方程中的混合整数规划问题以及约束的非线性化问题，将方程转换为二次规划问题使其方便求解，并提出了对个别误差较大的量测数据进行修正的方法。最后，通过算例验证了所提出的拓扑辨识算法的鲁棒性和性能以及误差修正算法的有效性。

Abstract

With the integration of distributed energy into the distribution network

its structure has become increasingly complex and the failure rate has also increased. Fault restoration of distribution networks helps to restore power supply

improve the stability and reliability of power systems. The extensive installation of distribution transformer supervisory terminal units（TTU）provides data support for network fault restoration. The real-time topology identification technology of distribution networks considering TTU data measurement errors is focused on. Firstly

based on the analysis of the TTU data

an optimization equation with the target of minimizing the error is constructed.Secondly

considering the mixed-integer programming problem and the nonlinear item in the optimization equation

the equation is converted into a quadratic programming problem to make it possible to solve it with the standard method. Finally

case studies are conducted to verify the effectiveness of the proposed algorithm.

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