Distributionally Robust Resilience Enhancement Model for the Power Distribution System Considering the Uncertainty of Natural Disasters

Abstract

Natural disasters with high risk and lower occurrence probability have attracted much more concern in recent years. In this paper, we proposed a distributionally robust resilience enhancement model for the distribution power system, in which the uncertainties of natural disasters are also taken into consideration. The ambiguity of the DRRM is constructed based on the branch outage probability, and the nested CCG algorithm is applied to solve the proposed model. The DRRM has been verified in the IEEE 33-bus distribution system. Case studies showed that the proposed model can reach a more effective and economic reinforcement strategy for the power distribution system.