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Testing and analysis of centralized and decentralized mode estimation architectures for active distribution network monitoring

机译:用于主动配电网监控的集中式和分散式模式估计架构的测试和分析

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This paper presents the results of testing a Phasor Measurement Unit (PMU) data-based mode estimation application deployed within a decentralized architecture using a real-time test platform. By extending the author's previous work in [1], this paper shows that a decentralized architecture is effective in detecting local modes which are less observable in presence of other dominant modes when estimated in a centralized architecture. The tests in this paper were carried out that was coupled with actual PMUs, a Phasor Data Concentrator (PDC) and two types of mode estimation architectures. The is network comprised of a high voltage network connected to an Active Distribution Network (ADN) with Renewable Energy Resources (RES). In the decentralized architecture where each PMU was associated with its own processing unit running to compute mode estimates from the acquired time-series data. The results of the decentralized mode estimation architecture are analyzed and compared with centralized architecture.
机译:本文介绍了使用实时测试平台测试分散结构中部署的相量测量单元(PMU)基于数据的模式估计应用程序的结果。通过扩展作者在[1]中的先前工作,本文显示了一种分散式体系结构可以有效地检测在集中式体系结构中进行估计时在其他主导模式下难以观察到的局部模式。本文进行的测试与实际的PMU,相量数据集中器(PDC)和两种类型的模式估计架构相结合。该网络由连接到具有可再生能源(RES)的有源配电网(ADN)的高压网络组成。在分散式架构中,每个PMU与其各自的处理单元相关联,该处理单元运行以根据获取的时间序列数据计算模式估计值。分析了分散模式估计架构的结果,并将其与集中式架构进行了比较。

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