In the electricity market system, distributed generations (DGs) are usually owned by users, which can eliminate the peak load and support emergency power. In the background of electricity market, in order to optimize the distribution network at the greatest degree, DGs in this paper will be considered as dispatched equipments during the distribution network reconfiguration optimization process, and the injected power is regarded as optimization variables. DG injected power, network loss, and benefit distribution are changed into comprehensive costs according to tariff, and the minimum of costs is taken as the objective function, and improved quantum evolutionary algorithm (IQEA) is proposed to solve the reconfiguration problem. The improved algorithm uses modified strategy to enhance the efficiency of search, combining with loop quantum collapse strategy to avoid the infeasible solutions to improve the configuration efficiency. The effectiveness and correctness of the method is verified through the simulation results of IEEE 33-node system.