文章基本信息

标题：Power System Analysis based on Dynamic Security Assessment Using Fuzzy Logic
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作者：Triveni Ambre ; Priyanka More
期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2016
卷号：5
期号：7
页码：2152-2156
出版社：Shri Pannalal Research Institute of Technolgy
摘要：Dynamic security assessment (DSA) is an standard intrigue in modern power system stability opinion. We are implementing pattern discovery (PD) based fuzzy classification scheme for the DSA. Firstly, the Pattern Discovery algorithm is improved by combining the proposed centroid deviation analysis technique and the prior knowledge of the training data set. This improvement can increase the performance and efficiency when apply it to extract the patterns of data from a training data set of power system. Next, based on the results of the improved Pattern Discovery algorithm, a fuzzy logic-based classification method is developed to check the security index of a given power system operating point. The correspondence demonstrates that the proposed model is more functioning in the dynamic security analysis of a power system
关键词：Fuzzy Control; Pattern Discovery; Dynamic Security Assessment; Data Mining Introduction.