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‘In Silico’ Testing of a Decentralized PMUData-Based Power Systems Mode Estimator

机译:分散式PMU基于数据的电力系统模式估计器的“ In Silico”测试

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摘要

This paper presents the software implementation ofa Phasor Measurement Unit (PMU) data-based mode estimationapplication in a decentralized mode estimation architecture. Thiswork builds from previous efforts in the development of a modeestimator implemented using a centralized architecture, meaninga set of modes were estimated for the whole system in a singleprocessing location. One drawback of mode estimators that usecentralized mode architecture is that the observability and thereforeestimation of important low-damped local electromechanicalmodes can be affected by the higher observability of otherdominant modes of the systems (e.g inter-area modes). This workproposes, implements and tests a decentralized architecture inorder to increase the observation capability to provide betterestimates of local low damped oscillations. In this architecture,the data from a single PMU or a group of local PMUs couldbe processed by a processor to estimate the modal parametersobserved at a specific part of the grid or observed by specificgroup of PMUs. The decentralized architecture and results oftests are presented in this paper together with comparison witha centralized architecture.
机译:本文介绍了在分散模式估计架构中基于相量测量单元(PMU)数据的模式估计应用程序的软件实现。这项工作是基于以前开发使用集中式架构实现的模式估计器的努力而建立的,这意味着在单个处理位置为整个系统估计了一组模式。使用集中式模式架构的模式估计器的一个缺点是,系统的其他主要模式(例如区域间模式)的较高可观察性会影响可观测性以及对重要的低阻尼本地机电模式的估计。这项工作提出,实施和测试一种分散的体系结构,以提高观测能力,以便更好地估计局部低阻尼振荡。在这种体系结构中,处理器可以处理来自单个PMU或一组本地PMU的数据,以估计在网格的特定部分观察到的或由特定PMU组观察到的模态参数。本文介绍了分散式架构和测试结果,并与集中式架构进行了比较。

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