Resilience-Constrained Economic Dispatch for Blackout Prevention

Abstract

Abstract The resilience of power systems under high-impact low-probability events, such as extreme weather conditions is getting a growing concern. However, the operational resilience enhancement strategy based on the generation resource dispatch needs further research. Traditional generation resource dispatch, i.e. security-constrained economic dispatch (SCED), aims at minimizing the generation cost while paying little attention to the resilience under extreme events. This paper proposes a proactive resilience-constrained economic dispatch (RCED) model to enhance operational resilience during extreme weather condition. Weather forecast information from the local meteorological agency is used to divide the whole power system area into normal state area and the extreme weather affected area. Two penalty terms are established in the proposed RCED objective function. One represents the transmission lines load rate in the extreme weather affected area and the other denotes the inhomogeneity of power flow of all lines. The penalty terms are introduced to reduce the power flow entropy and prevent power system evolving into self-organized criticality. Thus, the possibility of blackouts is reduced and the system resilience is enhanced. Case studies demonstrate the effectiveness of the proposed model.