After the distributed wind power energy is incorporated into the distribution network, the system is lack of energy consumption capacity, and the utilization rate of wind power is not high. In this paper, a new energy consumption mode is proposed, which combines wind power consumption with distribution network reconstruction. Considering the uncertainty of load, the fluctuation and randomness of wind power output and the number of switching operations, the objective of the model is to minimize the proportion of wind power to be consumed and the number of switching operations. In order to solve the problem of premature convergence and local optimization, a new multi-objective quantum differential evolution algorithm is proposed, which effectively enhances the individual diversity and optimization speed. The IEEE33 node system connected to distributed power supply is taken as an example to analyze.