The traditional method of power supply capability(PSC)evaluation is simply based on the network-wide N-1 criterion at peak load time and fails to consider the impact of distributed generator(DG)

energy storage and load response. To solve this problem

this paper proposes a new PSC evaluation method of active distribution network(ADN)considering flexible reliability demand and post-fault load response. Firstly

combined with the uncertainty of DG output and the difference of users' response capability

the DG

energy storage and responsive load in ADN are modeled. Secondly

a PSC evaluation model is constructed with the objective of maximizing the PSC of ADN under the constraints of reliability demand and load response economy. Thirdly

a quasi-sequential Monte Carlo simulation method is developed for reliability assessment of ADN considering distributed photovoltaic

battery and demand response

and a solving method of PSC evaluation model based on genetic algorithm is proposed. Finally

the results of a typical ADN case study show that the proposed method can effectively tap PSC and improve the efficiency of asset utilization.