[ "余波(1979),男,工程师,从事配网运维工作(E-mail:wym183595548@163.com)。" ]
网络出版:2025-11-08,
纸质出版:2025-11-08
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余波, 段晓庆, 白涛, 等. 基于多时间尺度的配电网线路强度退损建模[J]. 宁夏电力, 2025,(5).
YU Bo, DUAN Xiaoqing, BAI Tao, et al. Multi time scale strength degradation modeling for distribution network lines[J]. Ningxia Electric Power, 2025, (5).
为提升配电网线路退损建模的精确性,本文提出一种基于多时间尺度的退损分析方法。针对配电网线路长期自然退损与短期突发冲击退损的异质性机理,分别建立杆塔与导线的精细化退损模型。长期退损模型中,杆塔退损以钢筋腐蚀导致的截面积损失为量化指标,结合氯离子扩散与活化腐蚀两阶段动态表征;导线退损综合考虑微振磨损和高温热老化效应,通过时变退化函数与热平衡方程量化强度衰减。短期退损模型中,基于材料应力-应变特性构建大风冲击与退损增量的映射关系,并引入最大退损增量准则表征不可逆损伤累积。通过线性叠加长期与短期退损分量,提出配电网线路全过程退损模型及失效概率评估方法。仿真结果表明,考虑长短期协同退损时,杆塔与导线的退损量分别达16.54%与22.67%,故障概率较单一长期退损模型提升19.54%,验证了大风天气下协同退损模型的必要性。本研究为配电网可靠性评估与风险防控提供了理论支撑。
To improve the accuracy of degradation modeling for distribution network lines
this paper proposes a multi time scale degradation analysis method.Considering the heterogeneous mechanisms of long term natural degradation and short term sudden impact degradation
refined models are established for towers and conductors separately.In the long term model
tower degradation is quantified by the cross sectional loss of reinforcement steel caused by corrosion
dynamically characterized through chloride ion diffusion and active corrosion stages.Conductor degradation integrates both micro vibration wear and high temperature thermal aging
quantified using time varying degradation functions and thermal equilibrium equations.In the short term model
a mapping relationship between wind induced impacts and degradation increment is introduced to characterize irreversible damage accumulation.By linearly superimposing long term and short term degradation components
a full process degradation model and failure probability assessment method are proposed.Simulation results demonstrate that under combined long and short term degradation
the degradation levels of towers and conductors reach 16.54% and 22.67%
respectively
with the failure probability 19.5% higher than that of the long term only model
verifying the necessity of the proposed synergistic model under wind conditions.This study provides theoretical support for reliability assessment and risk prevention of distribution networks.Keywords:distribution network lines;strength degradation;multi time scale;long term degradation;short term impact
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