Security constrained optimal power system dispatch considering stochastic power facility failures under extreme precipitation

Abstract

Due to climate change, power systems are facing increasingly severe precipitation events. These events can lead to waterlogging-induced failures in electricity facilities, posing significant risks to the stability and reliability of power systems. Therefore, it is essential to establish a waterlogging-induced stochastic power facility outage model along with an appropriate power system scheduling strategy against extreme precipitation events. Based on the geographical information and a specific rainfall scenario, the rainstorm waterlogging model is constructed in this paper to calculate the time-varying water depths of each geographic grid in different regions across a power system. By considering all possible rainfall scenarios, the probabilities of waterlogging-induced failures of electricity power facilities can be further obtained through statistical analysis. On this basis, typical failure scenarios can be extracted from the initial scenario library and then integrated into a stochastic unit commitment (UC) method for power system dispatch. Both load-shedding and system operation costs are minimized in this method to mitigate the possible adverse effects of extreme precipitation events. The effectiveness of the proposed method is verified by case studies based on a modified IEEE 24-bus test system. Simulation results demonstrate superiorities in both economy and security over traditional ones under extreme precipitation events.