An improved ant colony search algorithm for reconfiguration of distribution network with distributed generations

As a global optimization method based on probability, Ant Colony Search (ACS) algorithm is suitable for solving combinatorial optimization problem of Complex system. According to the weakly mesh structure feature of the distribution containing distributed generations (DG), the paper finds the ratio of the capacity of DG, load and the number of ants in the area of distributed generations supply, especially the ratio of DG is “negative”. Considering the constraint condition of voltage, the network of this area is first reconfigured in order to offset the effect of DG. In the end, the traditional ACS algorithm is used to analyze the rest of network. Plenty of simulations with IEEE 33 buses system are carried out to illustrate the performance of the proposed method. Test result verifies the feasibility of the proposed algorithm.