Cristin-resultat-ID: 1741003
Sist endret: 24. januar 2020, 15:22
NVI-rapporteringsår: 2019
Resultat
Vitenskapelig artikkel
2019

Spectral fitting approach to estimate electromechanical oscillation modes and mode shapes by using vector fitting

Bidragsytere:
  • Eduardo Salvador Bañuelos-Cabral
  • J.J. Nuno-Ayón
  • Bjørn Alfred Gustavsen
  • José Alberto Gutiérrez-Robles
  • Verónica Adriana Galván-Sánchez
  • Julian Sotelo-Castañon
  • mfl.

Tidsskrift

Electric power systems research
ISSN 0378-7796
e-ISSN 1873-2046
NVI-nivå 1

Om resultatet

Vitenskapelig artikkel
Publiseringsår: 2019
Publisert online: 2019
Trykket: 2019
Volum: 176
Artikkelnummer: 105958

Importkilder

Scopus-ID: 2-s2.0-85073654976

Beskrivelse Beskrivelse

Tittel

Spectral fitting approach to estimate electromechanical oscillation modes and mode shapes by using vector fitting

Sammendrag

Wide-area monitoring systems (WAMS) based on phasor measurement units (PMUs) provide the essential information of an electric power system (EPS) in order to face the challenges of generation, operation, and planning. The PMUs are used to obtain the power system ringdown responses. These signals can be analyzed by advanced signal-processing techniques for the estimation of electromechanical modes. This paper proposes a new spectral fitting (SF) approach to estimate these electromechanical oscillation modes and mode shapes by using vector fitting (VF) under noisy conditions. This methodology combines the numerical Laplace transform (NLT) with the VF method. A participation factor is also proposed to identify and detect the system's dominant oscillatory modes. The proposed methodology is demonstrated for a synthetic multi-component signal, a set of noisy synthetic multi-component signals, and numerical simulations of a 16-machine and 68-bus test power system. Results indicate that the proposed technique has the ability and accuracy to carry out a complete identification of electromechanical modes and mode shapes from several ringdown responses, under noisy conditions. © 2019 Elsevier B.V.

Bidragsytere

Eduardo Salvador Bañuelos-Cabral

  • Tilknyttet:
    Forfatter
    ved Universidad de Guadalajara

J.J. Nuno-Ayón

  • Tilknyttet:
    Forfatter
    ved Universidad Tecnológica de Jalisco

Bjørn Alfred Gustavsen

  • Tilknyttet:
    Forfatter
    ved Energisystemer ved SINTEF Energi AS

José Alberto Gutiérrez-Robles

  • Tilknyttet:
    Forfatter
    ved Universidad de Guadalajara

Verónica Adriana Galván-Sánchez

  • Tilknyttet:
    Forfatter
    ved Universidad de Guadalajara
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