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Enhancement of dynamic phasor estimation-based fault location algorithms for AC transmission lines

机译:基于动态相量估计的交流输电线路故障定位算法的改进

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摘要

A new technique to improve fault location methods in AC transmission lines is introduced in this study. The identification of fault location is carried out using one-end fault location algorithms based on impedance through dynamic phasors. This timely approach relies upon the fact that a fault resistance may introduce errors in the distance estimation when a fault takes place. Therefore, active power variations caused by the fault are used to enhance the fault location algorithms, i.e. power losses increase during the fault period for non-zero fault resistances. The present approach is extensively evaluated, using ATP-EMPT software, which relies upon the computation of a compensation factor associated with the rate of change in the resistance during pre-fault and fault conditions. This is achieved through the estimated phasors for voltage and current. Furthermore, the dynamic phasor estimation technique Taylor-Kalman-Fourier Filter is compared against a static phasor method. The proposed approach is validated using three fault location algorithms which are evaluated under different fault conditions, such as fault inception, location, and fault resistance. Results show that this proposed technique improves the fault location including fault resistances by 3% with respect to existing approaches.
机译:本文介绍了一种改进交流输电线路故障定位方法的新技术。通过基于动态相量的基于阻抗的单端故障定位算法来进行故障定位的识别。这种及时的方法基于以下事实:当发生故障时,故障电阻可能会在距离估计中引入错误。因此,由故障引起的有功功率变化可用于增强故障定位算法,即,对于非零故障电阻,在故障期间功率损耗会增加。使用ATP-EMPT软件对本方法进行了广泛的评估,该软件依赖于补偿系数的计算,该补偿系数与故障前和故障条件下电阻的变化率有关。这是通过估计相量的电压和电流来实现的。此外,将动态相量估计技术泰勒-卡尔曼-傅立叶滤波器与静态相量方法进行了比较。使用三种故障定位算法对所提出的方法进行了验证,该算法在不同故障条件下进行了评估,例如故障起始,定位和故障抵抗力。结果表明,相对于现有方法,该技术将故障定位(包括故障电阻)提高了3%。

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