Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Francisco Zelaya‐A."'
Publikováno v:
IET Generation, Transmission & Distribution, Vol 15, Iss 6, Pp 1107-1121 (2021)
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
Externí odkaz:
https://doaj.org/article/e25f7c8ee6d64780b957688e26c4c71c
Autor:
Francisco Zelaya-Arrazabal, Jingzi Liu, Jin Zhao, Hector Pulgar-Painemal, Fangxing Li, Horacio Silva-Saravia
Publikováno v:
2022 North American Power Symposium (NAPS).
Autor:
Mario R. Arrieta Paternina, Camila Castrillón-Franco, Alejandro Zamora-Mendez, Gabriel E. Mejia-Ruiz, Francisco Zelaya-Arrazabal, Rosa E. Correa, Felix Rafael Segundo Sevilla
Publikováno v:
Electric Power Systems Research. 217:109085
Publikováno v:
2020 IEEE Power & Energy Society General Meeting (PESGM).
This paper demonstrates the capabilities of the Loewner’s frequency interpolation method (LFIM) to extract the power system linear model in a selective-frequency range by employing the frequency response associated with inputs and outputs of the sy
Autor:
Gabriel E. Mejia-Ruiz, Paola Buendia, Alejandro Zamora-Mendez, Victor Velasco, Carlos Toledo-Santos, Cristian Torres, Julian Sotelo-Castañon, Mario R. Arrieta Paternina, Francisco Zelaya-A.
Publikováno v:
Electric Power Systems Research. 194:107102
This paper introduces the eigensystem realization (ER)-based identification algorithm and the Z-domain method (ZDM) to improve the impedance estimation of transmission lines under fault conditions, which is achieved by removing the exponential decayi
Autor:
Alejandro Zamora-Mendez, Joe H. Chow, Jose Antonio de la O Serna, Mario R. Arrieta Paternina, Francisco Zelaya-A.
Publikováno v:
Electric Power Systems Research. 182:106249
This paper proposes an eigensystem realization (ER) approach to accurately provide synchrophasor estimates. The proposal improves the frequency computation and its tracking since the ER-based estimator works as a frequency adaptive method, reducing t