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- W3136965325 abstract "Mode identification from post-disturbance ringdown responses is a valuable tool for the analysis of the dynamic performance and the stability margins of power systems. In this aspect, several techniques have been proposed, focusing mainly to single-signal analysis. However, considering large-scale power systems and especially future scenarios with high penetration of distributed energy resources, detailed network analysis at all voltage levels is required. As a result of these concerns, multi-channel mode identification algorithms have been developed. Scope of this paper is to evaluate the applicability and the performance of the most known multi-channel measurement-based identification approaches for the modal analysis of modern power systems incorporating active distribution networks. The algorithmic details and distinct characteristics of each method are briefly discussed. The examined methods are used to identify the dominant inter-area modes contained in ringdown responses at different levels of a combined transmission-distribution network." @default.
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- W3136965325 date "2021-06-01" @default.
- W3136965325 modified "2023-09-30" @default.
- W3136965325 title "Multi-channel measurement-based identification methods for mode estimation in power systems" @default.
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- W3136965325 doi "https://doi.org/10.1016/j.epsr.2021.107157" @default.
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