A New optimizing algorithm used on the prediction of the fault of the transformer

摘要：

The use of BP optimized by Genetic Algorithm can, to some extend, improve the precision of prediction. But the Genetic Algorithm is limit due to its characters: premature and local converge. In this paper, Artificial Immunization Genetic Algorithm instead of Simple Genetic Algorithm is used. Besides, the Fuzzy control is adopted to control the crossover and mutation probabilities so that adaptive Artificial Immunization Genetic Algorithm is formed. The proposed model is used on prediction of dissolved gas in the transformers. The results show that the new algorithm overcomes the shortcomings of Simple Genetic Algorithm. The predicting precision is increased. The algorithm has some certain values on the research and the application.

关键词： Genetic Algorithm Artificial Immunization Fuzzy control Adaptive Artificial Immunization Genetic Algorithm Transformer

作者: Yuan Zhijian Pei Zichun

作者单位: Sichuan Deyang Electric Power Bureau Deyang(618000), Sichuan Institude of Electric and Information , Xihua Uiversity Chengdu (610039) , China

会议类型: 国际会议

会议名称: 2010 International Conference on Measurement and Control Engineering(2010年IEEE测量与控制工程国际会议 ICMCE2010)

会议地点: 成都

会议语种:英文

页码: 398-401

在线出版日期: 2010-11-16（万方平台首次上网日期，不代表论文的发表时间）