Model predictive control based sequential operation for system resiliency enhancement

The gravity of power system resilience attracts growing attention in recent years. This paper proposes a sequential resilience operation methodology to continuously make correction decisions when the system suffers from hurricane. At first, the outage model of the system during hurricane is introduced. With the ensuing generated outage data as the input, the sequential resilience operation methodology, based on model predictive control, is proposed. The system resiliency is continuously enhanced with the operation decisions. At last, the coherent risk measure is adopted to quantify the risk of system loss. Moreover, an illustrated case based on IEEE 30 bus system is provided to show the efficiency of the methodology.