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‘In silico’ testing of a decentralized PMU data-based power systems mode estimator

机译:'在Silico'测试分散的PMU基于数据的功率系统模式估计器

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This paper presents the software implementation of a Phasor Measurement Unit (PMU) data-based mode estimation application in a decentralized mode estimation architecture. This work builds from previous efforts in the development of a mode estimator implemented using a centralized architecture, meaning a set of modes were estimated for the whole system in a single processing location. One drawback of mode estimators that use centralized mode architecture is that the observability and therefore estimation of important low-damped local electromechanical modes can be affected by the higher observability of other dominant modes of the systems (e.g inter-area modes). This work proposes, implements and tests a decentralized architecture in order to increase the observation capability to provide better estimates of local low damped oscillations. In this architecture, the data from a single PMU or a group of local PMUs could be processed by a processor to estimate the modal parameters observed at a specific part of the grid or observed by specific group of PMUs. The decentralized architecture and results of tests are presented in this paper together with comparison with a centralized architecture.
机译:本文介绍了分散模式估计架构中的量相测量单元(PMU)基于数据的模式估计应用的软件实现。这项工作从以往的工作中建立了使用集中架构实现的模式估计的工作中,这意味着在单个处理位置中的整个系统估计了一组模式。使用集中模式架构的模式估计的一个缺点是重要的低阻尼局部机电模式的可观察性和估计可能受到系统的其他主要模式的更高可观察性(例如区域间模式)的影响。这项工作提出,实现和测试分散的架构,以增加观察能力,以提供对局部低阻尼振荡的更好估计。在该架构中,来自单个PMU或一组本地PMU的数据可以由处理器处理,以估计在网格的特定部分观察到的模态参数,或者由特定的PMU组观察到。与集中式架构相比,本文将分散的架构和测试结果一起呈现在一起。

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