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[1]张晓宇,郑山锁,王凯歌,等.基于NSGA-Ⅲ的变电站系统震后恢复策略研究*[J].中国安全生产科学技术,2026,22(5):213-220.[doi:10.11731/j.issn.1673-193x.2026.05.026]
　Zhang Xiaoyu,Zheng Shansuo,Wang Kaige,et al.Research on post-earthquake recovery strategy of substation systems based on NSGA-Ⅲ[J].Journal of Safety Science and Technology,2026,22(5):213-220.[doi:10.11731/j.issn.1673-193x.2026.05.026]
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基于NSGA-Ⅲ的变电站系统震后恢复策略研究*

《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
22
期数:
2026年5期
页码:
213-220
栏目:
公共安全与应急管理
出版日期:
2026-05-30

文章信息/Info

Title:
Research on post-earthquake recovery strategy of substation systems based on NSGA-Ⅲ
文章编号:
1673-193X(2026)-05-0213-08
作者:
张晓宇; 郑山锁; 王凯歌; 刘晓航
（1.西安建筑科技大学 土木工程学院，陕西 西安 710055；
2.西安建筑科技大学 结构工程与抗震教育部重点实验室，陕西 西安 710055；
3.西安科技大学 建筑与土木工程学院，陕西 西安 710055)
Author(s):
Zhang Xiaoyu;  Zheng Shansuo;  Wang Kaige;  Liu Xiaohang
(1.College of Civil Engineering,Xi’an University of Architecture and Technology,Xi’an Shaanxi 710055,China;
2.Key Laboratory of Structural Engineering and Earthquake Resistance,Ministry of Education,Xi’an University of Architecture and Technology,Xi’an Shaanxi 710055,China;
3.School of Architecture and Civil Engineering,Xi’an University of Science and Technology,Xi’an Shaanxi 710055,China)
关键词:
变电站系统; 抗震韧性; 冗余; 修复优化; 改进遗传算法
Keywords:
substation system;  seismic resilience;  redundancy;  repair optimization;  improved genetic algorithm
分类号:
X913；TM734
DOI:
10.11731/j.issn.1673-193x.2026.05.026
文献标志码:
A
摘要:
为满足变电站系统震后恢复中高效决策的需求，基于NSGA-Ⅲ算法提出了1种震后恢复策略。策略分为2个阶段，第1阶段考虑网络拓扑与流量平衡约束，构建冗余辨识模型，生成恢复决策框架，将恢复过程解构为优先的关键组件修复与随后冗余组件修复；第2阶段融合系统冗余信息与关键组件优先级，应用非支配排序遗传算法求解震后恢复决策。将所提方法应用于220/110 kV双母线主接线系统逐级修复优化中。研究结果表明：3 000组韧性曲线均在15.83 d恢复至震前功能水平，验证了冗余辨识模型的有效性。本文算法较基准方法提升系统抗震韧性3.9百分点，计算效率提高1.53倍，实现了寻优能力与效率的协同提高。研究结果可为变电站系统震后恢复策略的制定提供参考。
Abstract:
In order to meet the demand for efficient decision-making in the post-earthquake restoration of substation systems,a post-earthquake restoration strategy is proposed based on the NSGA-Ⅲ algorithm.The strategy is divided into two stages:In the first stage,considering network topology and traffic balance constraints,a redundancy identification model is constructed,and a recovery decision-making framework is established.This framework decomposes the recovery process into the prioritized restoration of critical components followed by the repair of redundant elements.In the second stage,system redundancy information is integrated with the priority of critical components,and the non-dominated sorting genetic algorithm is applied to solve the post-earthquake recovery decision-making problem.The proposed method is applied to the progressive restoration optimization of a 220/110 kV double-bus main wiring system.Simulation results demonstrate that all 3 000 resilience curves recover to the pre-earthquake functional level within 15.83 days,verifying the effectiveness of the redundancy identification model.Compared with the baseline method,the proposed algorithm improves the system’s seismic resilience by 3.9 percentage points and enhances computational efficiency by a factor of 1.53,achieving the synergistic improvement of optimization capability and efficiency.

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备注/Memo

备注/Memo:
收稿日期： 2025-12-09；修回日期：2026-04-09
* 基金项目： 国家自然科学基金项目(52278530)
作者简介： 张晓宇，博士研究生，主要研究方向为灾害安全风险预防与控制。
通信作者： 郑山锁，博士，教授，主要研究方向为灾害安全风险预防与控制。
更新日期/Last Update: 2026-06-03