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On The Performance Of State Estimators In Distribution Systems Under Fault Conditions

机译:故障条件下配电系统状态估计器的性能

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The modernization of the traditional distribution systems toward the so-called smart grid creates an environment conducive for the applications of distribution system state estimators. In this paper, two distribution system state estimator approaches, namely, Branch Currents Based State Estimator (BCBSE) and Admittance Matrix Based State Estimator (AMBSE), are evaluated under fault conditions. The aim is to verify if the approaches can be used as the main core of a fault location methodology. Both approaches have the particularity of presenting constant Jacobian and Gain matrices, which reduces the associated computational effort. The simulations shown in this paper were performed on the IEEE 13-bus test feeder, considering single-and three-phase faults for different fault resistances and fault locations for several available measurement sets. Results indicate that the so-called BCBSE presents a more robust and stable behavior under fault conditions.
机译:传统配电系统向所谓的智能电网的现代化改造,为配电系统状态估计器的应用创造了有利的环境。在故障情况下,本文评估了两种配电系统状态估计器方法,即基于支路电流的状态估计器(BCBSE)和基于导纳矩阵的状态估计器(AMBSE)。目的是验证这些方法是否可以用作故障定位方法的主要核心。两种方法都具有呈现常数雅可比矩阵和增益矩阵的特殊性,从而减少了相关的计算工作量。本文所示的仿真是在IEEE 13总线测试馈线上进行的,考虑了针对不同故障电阻的单相和三相故障以及针对多个可用测量集的故障位置。结果表明,所谓的BCBSE在故障条件下表现出更鲁棒和稳定的行为。

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