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不依赖GNSS的输电线路双端行波故障测距OA北大核心CSTPCD

A GNSS-independent Two-terminal Traveling Wave Fault Location Scheme for Transmission Lines

中文摘要英文摘要

双端行波故障测距技术是实现输电线路快速故障恢复的有效手段.传统双端行波测距方法依赖全球卫星导航系统(global navigation satellite system,GNSS)同步线路两侧采样数据,存在信号误差、丢失等风险.基于行波的传播时延和时移不变性,该文提出一种不依赖 GNSS 的双端行波故障测距方案.理论层面,定量分析时间同步误差及其对故障前工频方向行波相角关系的影响,推导证明通过本地计算方向行波相量进行双端故障测距的可行性.算法层面,首先,通过小波变换检测故障初始行波到达时间;其次,通过对故障前工频方向行波的傅里叶变换求解附加相角差,进而完成双端测距.仿真结果表明,在考虑电压互感器传变特性的条件下,所提方案在不同故障情况、采样频率和噪声干扰等影响下均保持了良好的测距性能.由于无须增设GNSS、硬件时间戳等辅助硬件设备,所提方案便于现存设备的技术更新与工程应用.

Two-terminal traveling wave-based fault location is essential for transmission line fault recovery.To synchronize the data,the traditional method relies heavily on the global navigation satellite system(GNSS),leading to a risk of signal error.Considering the propagation delay and time shift invariance of traveling waves,this paper proposes a two-terminal traveling wave fault location scheme without GNSS.In theory,this paper analyzes the influence of time synchronization error and the phase angle difference of the pre-fault directional traveling wave.The feasibility of two-terminal fault location by calculating pre-fault directional traveling wave phasor is proved by formula derivation.In algorithm,the proposed algorithm detects the arriving time of the initial current traveling wave by dyadic wavelet transform.Then,the directional traveling wave is processed by the discrete Fourier transform algorithm.Considering the transfer characteristics of Capacitive Voltage Transformers(CVT),the proposed scheme performs well under different fault conditions,sampling frequency and noise interference.Since no additional hardware is required,the proposed scheme could be conveniently integrated into existing devices.

亓臻康;王浩宗;董新洲;洪启腾

电力系统及发电设备控制和仿真国家重点实验室(清华大学电机系),北京市 海淀区 100084思克莱德大学,英国 格拉斯哥 G1 1RD

动力与电气工程

输电线路行波故障测距全球导航卫星系统非同步数据行波传播

transmission linestraveling wave fault locationglobal navigation satellite system(GNSS)unsynchronized datatraveling wave propagation

《中国电机工程学报》 2024 (010)

3766-3776,中插2 / 12

国家自然科学基金项目(52061635105).Project Supported by National Natural Science Foundation of China(52061635105).

10.13334/j.0258-8013.pcsee.230032

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