Abstract:In order to solve the impact of gradual aggravation of small disturbance events on distribution network scheduling, an elastic scheduling strategy considering the uncertainty of source load and the acceptance margin of distribution network is proposed, and a two-stage optimization model is established to solve the problem. Firstly, Latin hypercube sampling and backward scenario reduction techniques are used to generate typical scenarios with wind and solar as the source and electric vehicles as the load, and the uncertainty problem is transformed into a typical scenario analysis problem; On this basis, in the first stage, acceptance margin is introduced to maximize the acceptance capacity of distribution network to electric vehicles, and a demand side response model based on electricity price is constructed to realize peak load cutting and valley filling; In the second stage, the demand side response results are introduced to establish the economic scheduling model with the lowest system operation cost as the goal, and the improved artificial bee colony algorithm is proposed to solve the problem. The test results show that the proposed strategy can enhance the adaptability of the distribution network under the gradually increasing uncertainty events, and realize the elastic and efficient operation of the distribution network.