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Low-frequency oscillations in coupled phase oscillators with inertia.
Song, Huihui; Zhang, Xuewei; Wu, Jinjie; Qu, Yanbin.
Afiliación
  • Song H; School of New energy, Harbin Institute of Technology-Weihai, Weihai, Shandong, 264209, China.
  • Zhang X; College of Engineering, Texas A&M University-Kingsville, Kingsville, Texas, 78363, USA.
  • Wu J; School of New energy, Harbin Institute of Technology-Weihai, Weihai, Shandong, 264209, China.
  • Qu Y; School of New energy, Harbin Institute of Technology-Weihai, Weihai, Shandong, 264209, China. quyanbin@hit.edu.cn.
Sci Rep ; 9(1): 17414, 2019 Nov 22.
Article en En | MEDLINE | ID: mdl-31758069
This work considers a second-order Kuramoto oscillator network periodically driven at one node to model low-frequency forced oscillations in power grids. The phase fluctuation magnitude at each node and the disturbance propagation in the network are numerically analyzed. The coupling strengths in this work are sufficiently large to ensure the stability of equilibria in the unforced system. It is found that the phase fluctuation is primarily determined by the network structural properties and forcing parameters, not the parameters specific to individual nodes such as power and damping. A new "resonance" phenomenon is observed in which the phase fluctuation magnitudes peak at certain critical coupling strength in the forced system. In the cases of long chain and ring-shaped networks, the Kuramoto model yields an important but somehow counter-intuitive result that the fluctuation magnitude distribution does not necessarily follow a simple attenuating trend along the propagation path and the fluctuation at nodes far from the disturbance source could be stronger than that at the source. These findings are relevant to low-frequency forced oscillations in power grids and will help advance the understanding of their dynamics and mechanisms and improve the detection and mitigation techniques.

Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Sci Rep Año: 2019 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Sci Rep Año: 2019 Tipo del documento: Article País de afiliación: China