基于健康指数的架空线路检测与分级维修联合决策研究

赵振宇; 徐建树; 边敬然

doi:10.19783/j.cnki.pspc.260240

欢迎来到能源电力期刊网！

English Version 期刊登录

您当前的位置：

首页 >

文章列表页 >

基于健康指数的架空线路检测与分级维修联合决策研究

工程应用 | 更新时间：2026-09-23

- 基于健康指数的架空线路检测与分级维修联合决策研究
- Research on joint decision-making for overhead line inspection and graded maintenance based on health index
- 电力系统保护与控制 2026年54卷第18期
- 作者机构：
  
  华北电力大学经济与管理学院,北京,102206
- 作者简介：
- 基金信息：
- DOI：10.19783/j.cnki.pspc.260240
  中图分类号：
- 纸质出版：2026
- 稿件说明：
移动端阅览
赵振宇, 徐建树, 边敬然. 基于健康指数的架空线路检测与分级维修联合决策研究[J]. 电力系统保护与控制, 2026,54(18).

ZHAO Zhenyu, XU Jianshu, BIAN Jingran. Research on joint decision-making for overhead line inspection and graded maintenance based on health index[J]. Power System Protection and Control, 2026, 54(18).
赵振宇, 徐建树, 边敬然. 基于健康指数的架空线路检测与分级维修联合决策研究[J]. 电力系统保护与控制, 2026,54(18). DOI： 10.19783/j.cnki.pspc.260240.

ZHAO Zhenyu, XU Jianshu, BIAN Jingran. Research on joint decision-making for overhead line inspection and graded maintenance based on health index[J]. Power System Protection and Control, 2026, 54(18). DOI： 10.19783/j.cnki.pspc.260240.

摘要

针对架空输电线路检修中检测周期固定、维修等级依赖经验判断、难以统筹长期成本与失效风险的问题，提出了一种架空线路检测与维修联合决策方法。该方法引入健康指数作为线路综合状态的统一表征量，构建包含连续老化与冲击老化的健康指数演化模型。在此基础上，考虑维修成本随状态劣化递增的工程规律，基于部分可观测马尔可夫决策过程(partially observable Markov decision processes

POMDP)建立检测与分级维修联合决策模型。最后，以全寿命周期总成本最优为目标，采用蒙特卡洛树搜索方法，实现对检测周期与分级维修策略的联合优化。算例结果表明，相较传统检修策略，所提联合决策模型在固定维修成本与动态维修成本两类情形下均能显著降低线路全寿命周期成本，可为架空线路检修策略优化、风险控制和精益化运维管理提供决策支撑。

Abstract

To address the difficulty of balancing long-term costs and failure risks in overhead transmission line maintenance

where inspection intervals are fixed and maintenance levels largely depend on empirical judgment

a joint inspection and maintenance decision-making method is proposed. A health index is introduced as a unified measure of the overall line condition

and a health index evolution model incorporating both continuous aging and shock-induced deterioration is developed. Considering the practical relationship between increasing maintenance costs and deteriorating equipment condition

a joint inspection and multi-level maintenance decision model is established based on the partially observable Markov decision process (POMDP). Finally

with the objective of minimizing the total life-cycle costs

a Monte Carlo tree search method is employed to jointly optimize the inspection intervals and multi-level maintenance strategies. Case studies show that

compared with conventional maintenance strategies

the proposed model significantly reduces the life-cycle cost under both fixed and condition-dependent maintenance cost scenarios

providing decision support for maintenance strategy optimization

risk control

and refined asset management of overhead transmission lines.

关键词

Keywords

references

VINCENT F Y, TRUC Q V N, MINH N N. Integrated maintenance scheduling for generators and transmission lines considering renewable energy sources and energy storages[J]. Electric Power Systems Research, 2025, 246.

AL-MAHRQUQI M, SHAFIEEZADEH A, HUR J, et al. Data-driven predictive models for wind-induced transmission line interruptions[J]. International Journal of Electrical Power Energy Systems, 2025, 171.

LU G, TSANG C W, YIM H N, et al. Interpretable fault diagnosis for overhead lines with covered conductors: a physics-informed deep learning approach[J]. Protection and Control of Modern Power Systems, 2025, 10(2): 25-39.

MANNINEN H, KILTER J, LANDSHERG M. A holistic risk-based maintenance methodology for transmission overhead lines using tower specific health indices and value of loss load[J]. International Journal of Electrical Power and Energy Systems, 2022, 137.

HAN B, MING Z, ZHAO Y, et al. Comprehensive risk assessment of transmission lines affected by multi- meteorological disasters based on fuzzy analytic hierarchy process[J]. International Journal of Electrical Power Energy Systems, 2021, 133.

OTAGHSARA S S T, GHARAKHEILI M A. A market-based reliability-centered maintenance scheme for power transmission networks[J]. Sustainable Energy, Grids and Networks, 2025, 102.

TAO T, LI Z. A review of deep learning application in transmission line defect detection[J]. Electric Power Systems Research, 2026, 250.

MENG X, TIAN L, LIU J, et al. Failure prediction of overhead transmission lines incorporating time series prediction model for wind-ice loads[J]. Reliability Engineering System Safety, 2025, 259.

CHEN X, WU Y, WANG Z, et al. Markov process-based real-time risk forecasting for transmission towers during tropical cyclones to support grid resilience[J]. Reliability Engineering System Safety, 2025, 111.

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

多自然灾害下的架空输电线路运行风险评估

考虑时变故障率的架空输电线路最优巡检策略研究

基于综合健康指数的设备状态评估

电力变压器全寿命周期经济-物理综合寿命评估方法

基于层次分析-熵权组合法的架空输电线路综合运行风险评估