The application of association rule mining in power system restoration

被引：0
作者：
Liu, Dong [1 ]
Chen, Yunping [1 ]
Fan, Youping [1 ]
Shen, Guang [1 ]
机构：
[1] Wuhan Univ, Sch Elect Engn, Wuhan 430072, Peoples R China
来源：
2006 POWER ENGINEERING SOCIETY GENERAL MEETING, VOLS 1-9 | 2006年
基金：
中国国家自然科学基金;
关键词：
power system restoration; data mining; association rule mining; fuzzy set; clustering algorithm;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
The paper introduced the attempt to apply the Association Rule Mining (ARM) method to discovering heuristic rules for Power System Restoration (PSR) to guide a fast restoration process. In order to employ the popular algorithms of ARM, the process of PSR is represented as a series of actions out of a finite action set. The interesting attributes of each action are mapped as items and the actions are mapped as transactions. Fuzzy set and clustering method are adopted to evaluate the performance of individual action. A sample test is given to demonstrate the validity of the proposed method.
引用
收藏
页码：2835 / +
页数：2
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