配电系统故障状态估计器的性能研究

Luis F. Ugarte, Rodrigo G. Sau, M. Almeida
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引用次数: 1

摘要

传统配电系统向智能电网的现代化发展为配电系统状态估计器的应用创造了有利的环境。本文对配电系统的两种状态估计方法——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)进行了故障条件下的估计。目的是验证这些方法是否可以作为故障定位方法的主要核心。这两种方法都具有呈现恒定雅可比矩阵和增益矩阵的特点,从而减少了相关的计算量。本文所示的仿真是在IEEE 13bus测试馈线上进行的,考虑了不同故障电阻的单相和三相故障以及几种可用测量集的故障位置。结果表明,BCBSE在故障条件下具有更强的鲁棒性和稳定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On The Performance Of State Estimators In Distribution Systems Under Fault Conditions
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 13bus 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.
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