极端环境下基于NSGA-III算法的配电网输电线单设备预防维护研究
Research on Preventive Maintenance Strategy for Single Equipment of Distribution Network Transmission Lines Based on NSGA-III Algorithm in Extreme Environments
摘要: 针对配电网输电线在极端条件下的性能退化问题，以台风条件为例提出了一种考虑维护阈值的单设备输电线维护策略优化模型。该模型首先基于历史台风数据分析台风风场分布特征，建立了融合风速衰减效应与城市建筑扰动的优化Rankine台风风场模型，用以计算输电线承受的风速载荷。其次，根据输电线路金属构件在风速载荷下的形变程度，结合金属形变理论构建了输电线的动态故障率模型。进而，考虑输电线动态故障率的最大值约束，构建了分段维护策略模型；同时，依据输电线维护的通用措施及成本，引入了输电线维护成本和维护加固水平作为决策目标，建立了联合优化模型。最后，运用NSGA-III算法对模型进行求解，并通过算例分析验证模型的有效性，与非分段维护策略模型进行对比。结果表明，本文所提模型具有更优越的维护决策优化能力，有助于配电网系统降低维护成本并提升运行安全性。
Abstract: In response to the performance degradation problem of distribution network transmission lines under extreme conditions, taking typhoon conditions as an example, a single device transmission line maintenance strategy optimization model considering maintenance thresholds was proposed. The model firstly analyzed the distribution characteristics of typhoon wind field based on historical typhoon data, and established an optimized Rankine typhoon wind field model that integrated wind speed attenuation effect and urban building disturbance to calculate the wind speed load borne by transmission lines. Secondly, considering the deformation degree of metal components of transmission lines under wind speed loads, a dynamic failure rate model of transmission lines was constructed in combination with metal deformation theory. Furthermore, considering the maximum constraint on the dynamic failure rate of transmission lines, a segmented maintenance strategy model was constructed. At the same time, using the general measures and costs of transmission line maintenance, the maintenance cost and reinforcement level of transmission lines were introduced as decision-making objectives, and a joint optimization model was established. Finally, the NSGA-III algorithm was used to solve the model and the effectiveness of the model was verified through case analysis, comparing with the non-segmented maintenance strategy model. The results indicated that the model proposed in this article had superior maintenance decision optimization capabilities, which can help reduce maintenance costs and improve operational safety in distribution network systems.
文章引用：陈俞喆, 刘勤明, 叶春明, 汪宇杰. 极端环境下基于NSGA-III算法的配电网输电线单设备预防维护研究[J]. 建模与仿真, 2025, 14(8): 361-372. https://doi.org/10.12677/mos.2025.148574

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