System Resilience Enhancement Against Cascading Failure in Consideration of Uncertainty

Abstract

Recently, more and larger extreme weather events (e.g. typhoons) occur, which could cause serious outages, so the power system resilience needs to be taken into the account. This paper proposes a strategy to enhance power system resilience under the cascading failure prediction. Transmission line outages may occur due to extreme weather events, which result in power flow transfer. This can lead to the overload of some lines in the network, as well as the cascading failures. In addition, the uncertainty, e.g. renewables and loads, in power systems cause power flow uncertainty, and the deterministic power flow is no longer applicable for cascading failure prediction under the uncertainty. This paper uses the probabilistic load flow method to forecast the cascading failures under the influence of a typhoon. The modified IEEE-30-bus system with electric vehicle charging stations and random active loads is used to validate the proposed method. The results demonstrate that the proposed method works well, which could predict the cascading failure accurately and thus enhance the power system resilience.