Against the dual background of frequent occurrence of typhoon disaster and increasing penetration of new energy generation

a rolling optimal scheduling strategy of multiple flexibility resources including scaled electric vehicle (EV) is proposed to enhance the resilience of the distribution networks under typhoon disaster. Firstly

the fault scenarios of lines and photovoltaic (PV) in the region are simulated by Monte Carlo method based on typical meteorological characteristics

and the typical scenarios are screened by using system information entropy to get the temporal fault states of lines and PV. Secondly

a multiple flexibility resources optimization regulated model is established with the objective of minimizing the weighted load loss rate. Based on the spatio-temporal characteristics of EVs

they are expropriated and regulated

and the network is reconfigured and coordinated with mobile emergency generators (MEG) to maximize the use of resources in the network. Finally

in order to adapt to the evolution of the system fault state and adjust the regulated scheme in real time

a two-stage rolling solution method is proposed to reduce the problem solving complexity. A simulation analysis is conducted on an improved actual power supply unit network in a certain area of Jiangsu province

and the results show that the proposed strategy can effectively reduce load losses and enhance the resilience of the distribution networks in extreme scenarios.