微型电脑应用2026，Vol.42Issue(4)：88-91,4.
基于多尺度排列熵的低压电缆故障测距自适应优化算法
Adaptive Optimization Algorithm for Low Voltage Cable Fault Ranging Based on Multi-scale Permutation Entropy
摘要
Abstract
The low voltage cable frequently faults due to factors such as material aging,which brings hidden dangers to the sta-ble operation of the distribution network.To address this issue,an adaptive optimization algorithm for the low voltage cable fault ranging based on multi-scale permutation entropy is proposed.The collected cable operation state data are filtered,and the operation data are coarsely grained by multi-scale permutation entropy to identify key fault features.The fault current of low voltage cable is calculated during faults,a mapping function between fault features and fault location is established,and a cable fault ranging model is constructed.The fault ranging model is optimized by adaptive optimization algorithm,the ranging error is calculated and the ranging results are output.The experimental results show that the average proximity of the proposed algo-rithm between the distance measurement results and the actual results in practical applications is 0.972,the ranging accuracy is high.关键词
多尺度排列熵/低压电缆/电缆故障/故障测距/自适应优化算法Key words
multi-scale permutation entropy/low voltage cable/cable malfunction/fault ranging/adaptive optimization algo-rithm分类
信息技术与安全科学引用本文复制引用
黄毅标,许文宣,朱龙洋,廖宇飞,陈雄,胡韵婷..基于多尺度排列熵的低压电缆故障测距自适应优化算法[J].微型电脑应用,2026,42(4):88-91,4.基金项目
国网福建省电力有限公司科技项目(52131020011N) （52131020011N）
