An Accurate PMU-Based Fault Location Scheme for Shunt-Compensated Transmission Lines

Q3 Energy
M. Ahmadinia, J. Sadeh
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引用次数: 1

Abstract

In this paper, an accurate fault location scheme based on phasor measurement unit (PMU) is proposed for shunt-compensated transmission lines. It is assumed that the voltage and current phasors on both sides of the shunt-compensated line have been provided by PMUs. In the proposed method, the faulted section is determined by presenting the absolute difference of positive(or negative-) sequence current angles index, firstly. After determining faulted section, the voltage phasor at the shunt-compensator terminal is estimated via the sound section. The faulted section can be assumed as a perfect transmission line that synchronized voltage and current phasors at one end and voltage phasor at the other end are available. Secondly, a new fault location algorithm is presented to locate the precise fault point in the faulted section. In this algorithm, the location of the fault and the fault resistance are calculated simultaneously by solving an optimization problem, utilizing the heuristic Particle Swarm Optimization (PSO) method. The simulation results in MATLAB/SIMULINK platform demonstrate the high performance of the proposed method in finding the fault location in shunt-compensated transmission lines. The proposed scheme has high accuracy for both symmetrical and asymmetrical fault types and high fault resistance.
基于PMU的并联补偿输电线路精确故障定位方案
本文提出了一种基于相量测量单元(PMU)的并联补偿输电线路精确故障定位方案。假设并联补偿线路两侧的电压和电流相量由PMU提供。在该方法中,首先通过给出正(或负)序电流角指数的绝对差来确定断层段。在确定故障段之后,通过声音段来估计并联补偿器端子处的电压相量。故障段可以假设为一条完美的输电线路,一端的电压和电流相量同步,另一端的电压相量同步。其次,提出了一种新的故障定位算法来精确定位故障段中的故障点。在该算法中,利用启发式粒子群优化(PSO)方法,通过求解优化问题,同时计算故障位置和故障电阻。在MATLAB/SIMULINK平台上的仿真结果表明,该方法在并联补偿输电线路故障定位中具有较高的性能。所提出的方案对对称和非对称故障类型都具有较高的精度,并且具有较高的故障电阻。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Iranian Journal of Electrical and Electronic Engineering
Iranian Journal of Electrical and Electronic Engineering Engineering-Electrical and Electronic Engineering
CiteScore
1.70
自引率
0.00%
发文量
13
审稿时长
12 weeks
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