Distribution Network Fault Restoration Based On Improved Adaptive Genetic Algorithm

摘要：

In this paper,the mathematical model of fault restoration is established,and presents a genetic algorithm which includes the heuristic algorithm and adaptive algorithm for solving it.The initial population is generated by the heuristic algorithm,and apply heuristic algorithm to repair the infeasible solution,the algorithm improves the convergence speed effectively,in the process of optimizing,the application of improved adaptive algorithm in the crossover rate and mutation rate speeds up the search rate and avoids premature convergence effectively.In this paper,the example of 33-node distribution system of IEEE shows that the algorithm has high convergence,strong real-time and global stability.

关键词： distribution network fault restoration genetic algorithm adaptive heuristic

作者: Sheng Siqing Ma Zhigang Wu Jing Gao Nan

作者单位: School of Electrical and Electric Engineering North China Electric Power University Baoding, China

会议类型: 国际会议

会议名称: 2009 Second International Conference on Intelligent Computation Technology and Automation(2009 第二届IEEE智能计算与自动化国际会议 ICICTA 2009)

会议地点: 长沙

会议语种:英文

页码: 318-321

在线出版日期: 2009-10-10（万方平台首次上网日期，不代表论文的发表时间）