1.College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China;2.Department of Electrical Engineering, Tsinghua University, Beijing 100084, China

In recent years, extreme natural disasters such as storms and floods occur frequently, so it is a severe challenge to maintain the continuous power supply for primary loads in distribution networks after disasters. Currently, there are difficulties in accurately evaluating the damage to distribution networks under typhoon disaster and balancing the resilience and economy of distribution networks. To solve the problems above, a joint data-driven and mechanism-driven model of failure rates under typhoon and rainstorms is proposed based on historical data and disaster mechanisms of typhoon. To deal with the lack of data under extreme natural disasters and low forecasting accuracy, conditional value at risk (CVaR) of disaster duration is obtained by using φ divergence. Taking the capacities of mobile energy storages as decision variables, and the Nash bargaining theory is used to establish the balance model between the economy and resilience of distribution networks, which realizes the comprehensive consideration of resilience and economy. The effectiveness of the proposed strategy is verified by an example test.