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An accurate fault location algorithm for transmission line based on R-L model parameter identification

机译：基于R-L模型参数辨识的输电线路故障精确定位算法

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摘要

An accurate time domain algorithm for fault location using one-terminal data is presented. The algorithm is based on the modal analysis and the R-L model of transmission lines, and utilizes the fault-superimposed components effectively. In the algorithm, the differential equations of fault condition networks and pure-fault networks are combined to determine the fault distance. The fault distance, fault resistance and source parameters at the remote end are solved as the unknown variables of a second-order system by finite difference method. This algorithm eliminates influence of the fault resistance and the opposite source parameters on the fault location accuracy, which have been the main source of error for conventional one-terminal approaches. In addition, the paper discusses manipulations of equations to solvable form and the minimum number of equations required. By the analysis to the correlation of measurement equations and the analytic solution of the fault current and voltage in time domain, the paper demonstrates that one-terminal algorithm has the same precision as two-terminal algorithm in theory. The EMTP simulation results show the validity and high accuracy of the new algorithm.
机译：提出了一种使用单端数据进行故障定位的准确时域算法。该算法基于传输线的模态分析和R-L模型，有效地利用了故障​​叠加分量。该算法将故障条件网络和纯故障网络的微分方程组合起来，确定故障距离。通过有限差分法将远端的故障距离，故障电阻和源参数作为二阶系统的未知变量求解。该算法消除了故障电阻和相反的源参数对故障定位精度的影响，而故障定位精度一直是常规单端方法的主要误差来源。此外，本文还讨论了以可解形式求解方程的操作以及所需方程的最小数量。通过对测量方程的相关性分析以及时域故障电流和电压的解析解，证明了单端算法在理论上具有与两端算法相同的精度。 EMTP仿真结果表明了该算法的有效性和较高的准确性。

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