The intermittent and randomness of distributed generations and charging power of electric vehicles bring new challenges to the distribution network reconfiguration. In this context

an interval number method based dynamic reconfiguration strategy considering electric vehicles and distributed generation is proposed. This paper introduces the uncertainty of the distribution power supply and the charging load of electric vehicles. The objective function to minimize network loss by interval number is proposed. Meanwhile

the dynamic time division of dynamic loss parameters is come up with and a mathematical model of dynamic reconfiguration of distribution network is established. The flow equation is solved by using Krawczyk-Moore interval iteration method as well as an affine multiplication and division operation is introduced to replace the interval multiplication

which help to solve the problem of interval arithmetic. Finally

the optimization method for the model above is proposed by combining neighborhood search and clonal selection algorithm

in order to realize dynamic reconfiguration of active distribution network with multiple uncertainties. The analysis of the example shows that the proposed method is superior to the traditional artificial intelligence algorithm.