Chaos Immune Optimization Algorithm in Distribution Service Restoration after Faults
Chaos immune optimization algorithm on distribution service restoration after faults is presented to improve the probability for optimal solution in this paper, which is integrated the characteristic of chaotic optimization with artificial immunity algorithm. In the proposed algorithm, excellent global search ability of chaotic optimization is regarded as thick search to initialize the antibody of immune algorithm, and local search of artificial immune algorithm is applied to replace thin search in the chaotic optimization, which assures the population diversity and avoids getting to stuck in local minima to a certain degree. A living example for a certain district distribution in Chongqing is analyzed by the method presented in this paper. The result shows that chaos immune optimization algorithm in the paper might improve convergence speed and precision of restoration and avoid premature convergence.
Distribution service restoration Immune algorithm Chaos optimization Switch combination
Shaolan Lei Jing Yang Jia Yang Dongrong Jiang Shan Li
School of Electronic Information and Automation, Chongqing University of technology, Chongqing) 400054, China
国际会议
重庆
英文
237-240
2011-01-21（万方平台首次上网日期，不代表论文的发表时间）