Data‐driven power system linear model identification for selective modal analysis by frequency interpolations

Abstract This paper proposes a new approach to identify a data‐based power system linear model by means of frequency interpolations, aiming to obtain a suitable system representation for selective‐modal analysis purposes. The key idea behind the identification process is the Loewner‐based frequency...

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Bibliographic Details
Main Authors: Francisco Zelaya‐A., Joe H. Chow, Mario. R. Arrieta Paternina, Alejandro Zamora‐Mendez
Format: Article
Language:English
Published: Wiley 2021-03-01
Series:IET Generation, Transmission & Distribution
Online Access:https://doi.org/10.1049/gtd2.12084