Evaluation method of active distribution network resilience considering the power supply recovery and interaction of subareas

Extreme weather events lead to large-scale blackouts, resulting in huge economic losses, and a reasonable resilience evaluation system can direct effective methods to reduce these losses. In this paper, an evaluation index system of active distribution network (ADN) resilience is constructed based on analytic hierarchy process considering the supporting role of distributed resources in extreme conditions. Firstly, ADN is divided into several critical and uncritical subareas according to the load characteristics. Based on the fault recovery characteristics of subareas, the resilience indexes such as fault recovery time, outrage time and energy loss percentage are proposed. Secondly, the piecewise linear function is used to normalize the resilience indexes, weights are given to calculate the resilience score of each subarea due to the different load characteristics. Considering the interaction between subareas, the complex correlation coefficient method is used to determine the weight of them and calculate the resilience score of distribution network. Finally, Monte Carlo method is used to simulate the occurrence of extreme weather. The method based on IEEE33 bus example can quantitatively analyze the power supply recovery ability of each subarea and ADN under extreme conditions.