Abstract:
In order to enhance the validity of the reconfiguration of the distribution network connected with time-varying loads, an original dynamic reconfiguration method of the distribution network at multi-period is proposed. To minimize the power losses and switching times, the dynamic reconfiguration model with multi-objective is built. Invalid solutions are quickly eliminated by using switch loop matrix and node-layering discriminative method. Further more, the dimensions of variables are diminished greatly with the help of integer loop code strategy. To solve this complicated model, an integer coded quantum particle swarm optimization algorithm is proposed to better deal with the dynamic reconfiguration of the distribution network. First, aiming at minimizing the power losses, the model is divided into different time periods; then based on the first division, the model is further divided in order to minimize the switching times.Thus, the optimal reconfiguration scheme is determined.The proposed method proves to be valid and reasonable supported by the results from the dynamic reconfiguration of the IEEE33 node system.
