Please use this identifier to cite or link to this item: https://idr.l3.nitk.ac.in/jspui/handle/123456789/7257
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dc.contributor.authorSarkar, N.
dc.contributor.authorRao, K.
dc.contributor.authorShubhanga, K.N.
dc.date.accessioned2020-03-30T09:58:43Z-
dc.date.available2020-03-30T09:58:43Z-
dc.date.issued2018
dc.identifier.citation2018 20th National Power Systems Conference, NPSC 2018, 2018, Vol., , pp.-en_US
dc.identifier.urihttp://idr.nitk.ac.in/jspui/handle/123456789/7257-
dc.description.abstractTwo measurement-based ring-down electromechanical mode identification algorithms, namely Prony and Eigensystem Realization Algorithm (ERA) are taken up for a comparative study. Since the number of excited modes might vary in a practical power system, it is not easy to determine the model order. This requires an iterative procedure in case of Prony whereas a Singular Value Decomposition (SVD)-based technique achieves this directly in case of ERA as demonstrated through two case studies. It is further shown that ERA estimates the signal better and generates less number of trivial modes as compared to Prony. � 2018 IEEE.en_US
dc.titleA Comparative Study between Prony and Eigensystem Realization Algorithm for Identification of Electromechanical Modesen_US
dc.typeBook chapteren_US
Appears in Collections:2. Conference Papers

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