网络可观察性:测量冗余水平的识别

J. London, L. Alberto, N. Bretas
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引用次数: 26

摘要

本文提出了一种识别可观测电力系统各测量数据冗余度的新方法。该方法还可以识别出关键测量值,同时从测量集中移除的测量值集使电力系统不可观测。对于操作者来说,冗余水平是非常重要的,它可以指导对可用测量集进行适当强化的搜索。该方法基于雅可比矩阵行间的线性相关关系。为了确定这种关系,在状态空间中进行了一种方便的基交换。对稀疏性技术的探索和一些适应性使得该方法简单、快速。该方法已在ieee -14总线系统和巴西公用事业的两个实际系统中进行了测试(其中一个是ELETROSUL的121总线系统,另一个是CHESF-Companhia hidroelectrica do Sao Francisco的384总线系统)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Network observability: identification of the measurements redundancy level
In this paper, a new method to identify the redundancy level of each measurement associated to an observable power system is proposed. The proposed method also identifies the critical measurements, and sets of measurements that removed at same time from the measurement set make the power system unobservable. The redundancy level is very important to operators in order to guide the search for adequate reinforcement of the available measurement set. The proposed method is based on the linear dependency relation of the rows of the Jacobian matrix. To determine this relation, a convenient exchange of basis in the state space is made. The exploration of sparsity techniques and some adaptations make the proposed method simple and fast. This method has been tested in the IEEE-14-bus system, and in two realistic systems of the Brazilian utilities (one of them is a 121-bus system from ELETROSUL, and the other is a 384-bus system from CHESF-Companhia Hidroeletrica do Sao Francisco).
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