This paper proposes a method for fault location on single and double-circuits series capacitor bank-compensated transmission line (SCTL). A common situation for installing the series capacitor bank (SCB) is to place it some point away from the terminal substations. One-end measurement-based fault locators are favorable for many utilities due to simplicity and less cost especially if they are accurate enough. For impedance-based one-end fault locators on SCTL, the current passing in the SCB is unknown for about 50% of faults. This prevents the prediction of the challenging metal oxide varistor (MOV) behavior that is inevitable for a one-end method. Herein, the nonlinear characteristics of the MOV protecting the SCB are simplified by a linearized simple yet precise model. This makes it possible to express the SCB-MOV characteristics as a linearized function of the far-end current for faults upstream the SCB keeping the nonlinear characteristics of the MOV. This eventually enables to estimate the fault current contribution of the far-end. Hence, an analytical fault distance estimation algorithm is derived for both single and parallel transmission lines using the sequence-networks modeling of the system. Beside simplicity and robustness, the proposed method is found to be accurate enough in locating a big number of faults under a variety of conditions.

本文提出了一种单、双回串联电容器组补偿输电线路（SCTL）故障定位方法。安装串联电容器组 (SCB) 的常见情况是将其放置在远离终端变电站的某个位置。由于简单且成本较低，尤其是在它们足够准确的情况下，基于单端测量的故障定位器对许多公用事业公司来说是有利的。对于 SCTL 上基于阻抗的单端故障定位器，大约 50% 的故障中通过 SCB 的电流是未知的。这阻止了对单端方法不可避免的具有挑战性的金属氧化物压敏电阻 (MOV) 行为的预测。这里，保护SCB的MOV的非线性特性通过线性化的简单而精确的模型进行了简化。这使得可以将 SCB-MOV 特性表示为 SCB 上游故障的远端电流的线性函数，保持 MOV 的非线性特性。这最终能够估计远端的故障电流贡献。因此，使用系统的序列网络建模为单条和平行传输线导出分析故障距离估计算法。除了简单性和鲁棒性之外，发现所提出的方法在定位各种条件下的大量故障时足够准确。使用系统的序列网络建模为单条和并行传输线导出了分析故障距离估计算法。除了简单性和鲁棒性之外，发现所提出的方法在定位各种条件下的大量故障时足够准确。使用系统的序列网络建模为单条和并行传输线导出了分析故障距离估计算法。除了简单性和鲁棒性之外，发现所提出的方法在定位各种条件下的大量故障时足够准确。