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Bursting oscillation behaviors of a multi-time scales pumped storage power station with governor subsystem nonlinearity

Author

Listed:
  • Liu, Gongcheng
  • Chen, Diyi
  • Liu, Zhang
  • Zhang, Yunpeng
  • Zhao, Ziwen

Abstract

Pumped-storage power station (PSPS) play a crucial role in supporting the grid integration of intermittent energy and require frequent regulation to balance fluctuations. Eliminating potential stability risks under the strong nonlinear and complex multi-scale coupling characteristics to ensure the stability of PSPS is crucial for new power systems. Although governor nonlinear elements have been studied in previous studies, the effects and potential risks of their non-smooth characteristics on the stability of different subsystems have not been reported. In this study, a mathematical model of PSPS considering the non-smooth characteristics of governor is established by introducing a segmentation function. Then the influence laws of their effect on important variables in different subsystems are studied through the time waveforms and phase trajectories. Additionally, sensitivity analysis is employed to identify key parameters affecting stability at various stages. Finally, the risk of bursting oscillation caused by the nonlinear elements is revealed. The results show that the nonlinear elements have less effect on the hydraulic subsystem, but their non-smooth characteristic induces state switching in mechanical subsystems, which poses a risk for frequency oscillations. Adjusting the deadband has an inhibiting effect on both oscillations caused by nonlinear elements and improves stability in hydraulic and mechanical subsystems. This work provides fresh perspectives and theoretical basis for minimizing the risk of bursting oscillations while improving Pumped-storage plant stability.

Suggested Citation

  • Liu, Gongcheng & Chen, Diyi & Liu, Zhang & Zhang, Yunpeng & Zhao, Ziwen, 2024. "Bursting oscillation behaviors of a multi-time scales pumped storage power station with governor subsystem nonlinearity," Renewable Energy, Elsevier, vol. 223(C).
  • Handle: RePEc:eee:renene:v:223:y:2024:i:c:s096014812400137x
    DOI: 10.1016/j.renene.2024.120072
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