Recovery strategy of virtual power plant with resilience improvement under cascaded failure scenarios

Abstract

A novel strategy resilience enhancement of using virtual power plant (VPP) systems was proposed with pre-event and post-event phases to improve plant resistance to cascading failure events. In this strategy, VPP node importance evaluation was performed based on neighbor node contributions. VPP line importance calculations were performed considering static network flows, and decision-making methods were considered for the post-disaster recovery timing scheme of the VPP system based on resilience evaluation. First, we developed the VPP system topology using complex network theory, and considered various recovery parameters of power and the information networks parameters as performance indicators. Second, a resilience index was constructed to investigate changes in the network resilience of VPP systems with recovery protocols, and the relationship between resilient recovery strategies and network recovery performance was investigated. Finally, simulations were performed on the constructed VPP system. The results of the study indicated that critical nodes and lines considerably affect network performance. The recovery strategy proposed in this study can considerably improve the post-disaster recovery ability of VPP systems and effectively address large-scale cascading failures.