基于分布参数模型的双端非同步故障测距算法

基于线路分布参数模型，提出一种双端非同步故障测距算法。该算法根据电路叠加原理，将故障后的网络等效为正常状态网络和故障分量网络的叠加，然后以单相系统为例，以故障距离和非同步时间作为未知数，对正常电流电压相量和故障分量分别建立测距方程组，推导出故障距离的解析表达式，并给出了伪根的识别方法。文章还分析了该算法对三相系统的适用性。仿真结果表明，该算法消除了非同步时间的影响，适用于各种故障类型，无需选相，计算量小，测距精度高，较好地解决了双端测距中的数据不同步问题。

A Two-Terminal Fault Location Algorithm Using Asynchronous Phasors Based on Distributed Parameter Model

Based on distributed parameter model of power transmission line, a new two-terminal fault location algorithm in which asynchronous phasors are used is proposed. According to the superposition principle of electric circuits, the post-fault power network is equivalent to the superposition of network in normal state and that composed by fault components;then taking single-phase system for example, the fault distance and asynchronous time are taken as unknown numbers and the fault location equations for normal voltage and current phasors as well as fault components are established;and then the analytical expression for fault distance is deduced, in addition the recognition method of false root is given. The applicability of the proposed method in three-phase system is analyzed. ATP-EMTP based simulation results show that the proposed method can eliminate the influence of asynchronous time and is suitable to all types of faults, the fault location is accurate and the computation amount is little, in addition, it is not needed to identify the faulty phase or fault type and the problem of data asynchronization in two-terminal fault location is solved well.