Distribution service restoration using chaotic optimization and immune algorithm

A method of chaotic optimization and immune algorithm is presented for service restoration after faults in distribution system in this paper, which might improve the probability for optimal solution, and have the characteristic of chaotic optimization and artificial immunity algorithm. In the proposed algorithm, chaotic optimization is used to initialize the antibody of immune algorithm firstly in order to improve convergence speed by the excellent global search ability, which is regarded as thick search. Then artificial immune algorithm is applied by local search to complete thin search in the chaotic optimization, in order to make the population diversity and avoid getting to stuck in local minima to a certain degree. The effectiveness of the proposed method is demonstrated with actual system taken from a certain district distribution grid in Chongqing. The result shows that chaos immune optimization algorithm in the paper might improve convergence speed and precision of restoration and avoid premature convergence.