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A Statistical Approach for Line Outage Detection in Power Systems with Transient Dynamics

机译:瞬态动力学电力系统中输出检测的统计方法

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A method to detect and identify line outages in a power system is proposed. The statistics characterizing electricity demand are assumed to be known and propagated through a linearization of the power flow equations. The voltage phase angle measurements are collected using phasor measurement units (PMUs). Then, a quickest change detection (QCD) algorithm is applied to the voltage phase angles in order to detect and identify the line outage. It is shown that the proposed algorithm is applicable even when the transient dynamics of the power system following a line outage are considered. Case studies demonstrating the performance of the QCD algorithm on faults leading to transient dynamics are illustrated through the IEEE 14-bus test system.
机译:提出了一种用于检测和识别电力系统中的线路中断的方法。假设表征电力需求的统计数据是已知的并且通过电流方程的线性化传播。使用Phasor测量单元(PMU)收集电压相位角测量。然后,将最快的改变检测(QCD)算法施加到电压相位角,以便检测和识别线路中断。结果表明,即使考虑行动后的电力系统的瞬态动态,所提出的算法也适用。通过IEEE 14-Bus测试系统说明了展示QCD算法对导致瞬态动态的故障性能的案例研究。

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