In order to achieve a well configured power network, a multiple-objective genetic algorithm control optimization method is proposed. The distribution network involves centralized wind turbine, step-by-step voltage regulator, capacitor bank and energy storage system. Firstly, each scenario is constructed, and the components such as centralized wind power plant are configured and controlled by internal load flow program. Then, decision variables are defined, and three objective functions with trade-off relationship are constructed. Finally, multiple-objective genetic algorithm is used for iterative solution, and the point with the lowest cost of violation is selected as the optimal solution. In the MATLAB environment, the simulation experiments including three different configuration scenarios are carried out to compare the influence of different connection modes on the distribution network. The experimental results show that the proposed method is effective and can be applied to complex distribution networks.