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Título del libro: 2024 Ieee Pes Generation, Transmission And Distribution Latin America Conference And Industrial Exposition, Gtdla 2024
Título del capítulo: Power System Stabilizers? Design Through The Eigensystem Realization Algorithm

Autores UNAM:
MARIO ROBERTO ARRIETA PATERNINA;
Autores externos:

Idioma:

Año de publicación:
2024
Palabras clave:

Artificial intelligence; Benchmarking; Eigenvalues and eigenfunctions; Electric power system stability; State space methods; Coordinated design; Damping control; Eigen-value; Eigensystem realization algorithms; Eigenvalue sensitivity; Electromechanical modes; Linear modeling; New England; Power; Power System Stabilizer; Power systems computer aided design


Resumen:

This paper proposes an alternative way of designing multiple power system stabilizers (PSSs) for damping electromechanical modes. The approach is based on a system identification method that allows the computation of the first-order sensitivities of the eigenvalues of power system linear models. Thus, the eigensystem realization algorithm (ERA) is used to identify the power system linear model. This proposal derives a state-space representation using power system measurements to compute the power system eigenvalues and their residues for designing a single PSS for damping one mode or coordinated multiple PSSs for damping several modes. The attained results in two benchmark systems, Kundur and the New England transmission system-New York power system (NETS-NYPS), demonstrated the effectiveness of the proposed strategy in improving the dynamic response and power system stability for damping one or several electromechanical modes in large power systems, reaching stable behaviors in less than 2s and 7s for the Kundur and NETS-NYPS grids, respectively. © 2024 IEEE.


Entidades citadas de la UNAM: