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作 者:胡雯迪 HU Wendi(Changzhou Sanxin Power Supply Service Co.,Ltd.,Changzhou,Jiangsu 213115,China)
机构地区:[1]常州三新供电服务有限公司,江苏常州213115
出 处:《自动化应用》2025年第6期156-158,共3页Automation Application
摘 要:为解决传统低压配电线路短路故障自动定位技术精准度不足的问题,提出了一种基于小波包分解的低压配电线路短路故障自动定位方法。首先,采集配电线路两端的电压、电流等参数数据,挖掘并提取低压配电线路短路故障阻抗特征,以此为基础构建短路故障自动诊断及初步定位框架。然后,引入小波包分解技术,对初步定位结果进行精细化偏差校正,实现短路故障定位。最后,利用实验验证所提方法的先进性。实验结果表明,与传统方法相比,所提方法的自动定位准确性更高,且其能准确、快速地锁定故障位置,可为电力系统稳定运行提供有力保障。To solve the problem of insufficient accuracy in traditional low-voltage distribution line short-circuit fault automatic positioning technology,a low-voltage distribution line short-circuit fault automatic positioning method based on wavelet packet decomposition is proposed.Firstly,collect voltage,current and other parameter data at both ends of the distribution line,mine and extract the impedance characteristics of short-circuit faults in low-voltage distribution lines,and based on this,construct an automatic diagnosis and preliminary positioning framework for short-circuit faults.Then,the wavelet packet decomposition technique is introduced to finely correct the initial positioning results and achieve short-circuit fault location.Finally,the progressiveness of the proposed method is verified by experiments.The experimental results show that compared with traditional methods,the proposed method has higher accuracy in automatic positioning,and it can accurately and quickly lock the fault location,providing strong guarantee for the stable operation of the power system.
分 类 号:TP277[自动化与计算机技术—检测技术与自动化装置]
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