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Simultaneous estimation of state variables and network topology for power system real-time modeling

机译:电力系统实时建模的状态变量和网络拓扑的同时估计

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摘要

A combined Weighted Least Squares (WLS) and Weighted Least Absolute Value (WLAV) strategy is proposed to devise a joint state and network topology (S&T) estimator for power system real-time modeling. This is accomplished by formulating S&T coestimation as a multi-objective optimization problem combining both analog measurement residuals and operational conditions dictated by circuit-breaker statuses. The former are treated as arguments of a conventional WLS function, whereas the latter exploits the selective properties of the LAV criterion. The paper presents the theoretical framework for S&T coestimation, and proposes a specialized primal/dual interior point method to solve the corresponding optimization problem. Results obtained by applying the joint estimator to the IEEE 24-bus test system and to a real metropolitan system in Southern Brazil are reported in the paper. They indicate that S&T coestimation is a very promising approach to provide simultaneous solutions to both real-time modeling problems. (C) 2015 Elsevier B.V. All rights reserved.
机译:提出了一种结合加权最小二乘(WLS)和加权最小绝对值(WLAV)的策略来设计用于电力系统实时建模的联合状态和网络拓扑(S&T)估计器。这可以通过将S&T协同估算公式化为一个多目标优化问题来实现,该问题结合了模拟测量残差和断路器状态指示的运行条件。前者被视为常规WLS函数的参数,而后者则利用了LAV准则的选择性属性。本文提出了科学技术评价的理论框架,并提出了一种专门的原始/双重内点法来解决相应的优化问题。该论文报告了将联合估计器应用于IEEE 24-bus测试系统和巴西南部的真实都市系统所获得的结果。他们表明,S&T协估计是一种为两个实时建模问题提供同步解决方案的非常有前途的方法。 (C)2015 Elsevier B.V.保留所有权利。

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