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基于健康指数的架空线路检测与分级维修联合决策研究OA

Research on joint decision-making for overhead line inspection and graded maintenance based on health index

中文摘要英文摘要

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.

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.

赵振宇;徐建树;边敬然

华北电力大学经济与管理学院,北京 102206华北电力大学经济与管理学院,北京 102206华北电力大学经济与管理学院,北京 102206

架空输电线路健康指数全寿命周期检测周期分级维修

overhead transmission linehealth indexfull life-cycleinspection intervalgraded maintenance

《电力系统保护与控制》 2026 (18)

155-166,12

This work is supported by the Beijing Social Science Foundation(No.25BJ03207). 北京市社会科学基金项目资助(25BJ03207)

10.19783/j.cnki.pspc.260240

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