面向韧性提升的综合能源系统线路时序修复方法

于松源; 敖运; 吴如欣; 魏乐; 许昱涵; 张峻松

doi:doi:10.19912/j.0254-0096.tynxb.2024-1722

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面向韧性提升的综合能源系统线路时序修复方法

更新时间：2026-03-06

- 面向韧性提升的综合能源系统线路时序修复方法
- Vol. 47, Issue 2, Pages: 279-288(2026)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：doi:10.19912/j.0254-0096.tynxb.2024-1722
  CLC： TK01
- Online First：05 March 2026，
  
  Published：05 March 2026
- 稿件说明：
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于松源, 敖运, 吴如欣, et al. 面向韧性提升的综合能源系统线路时序修复方法[J]. 2026, 47(2): 279-288.
DOI：

于松源, 敖运, 吴如欣, et al. 面向韧性提升的综合能源系统线路时序修复方法[J]. 2026, 47(2): 279-288. DOI： doi:10.19912/j.0254-0096.tynxb.2024-1722.

摘要

随着综合能源系统各异质能源间的耦合互动加深

运行风险日渐凸显

为减小极端天气事件对系统的影响

提出一种面向韧性提升的综合能源系统线路时序修复方法。首先

引入支路状态变量

建立基于虚拟潮流的孤岛划分模型

确保关键负荷的持续供应。其次

构建两阶段线路时序修复模型

第一阶段以切负荷成本、开关操作成本、弃风弃光惩罚成本、耦合元件运行成本和启停成本最小为目标

制定网络重构和孤岛划分方案;第二阶段以修复后节点负荷功率损失最小为目标

确定最优修复顺序。最后

选取IEEE 33节点系统+11节点气网+6节点热网的测试系统和某实际综合能源系统进行仿真验证。算例结果表明

通过网络重构、孤岛划分与时序修复的动态循环

可实现系统的高效恢复、减少故障全过程的负荷损失、提升系统极端天气下的韧性。

Abstract

As the coupling and interaction between heterogeneous energy sources in the integrated energy system deepen

operational risks are becoming increasingly significant. To mitigate the impact of extreme disaster events on the system

a line sequence repairing method of the integrated energy system aimed at enhancing resilience is proposed. Firstly

branch state variables are introduced. An islanding partitioning model based on fictitious flow is established

ensuring the continuous supply of critical loads. Secondly

a two-stage line sequence repairing model is developed. In the first stage

the objective is to minimize costs related to load curtailment

switch operation

wind and solar power curtailment penalties

coupling component operation

and start-stop

thereby formulating a plan for network reconstruction and islanding. In the second stage

the goal is to minimize post-repair power loss at node loads to determine the optimal repair sequence. Finally

a test system consisting of an IEEE 33-node system

an 11-node gas network

and a 6-node heat network and an actual integrated energy system are used for simulation verification. The results demonstrate that through dynamic cycles of network reconstruction

islanding partitioning

and temporal repairs

the system achieves efficient recovery

reduces load loss throughout the fault process

and enhances system resilience under extreme weather.

关键词

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