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ANN INJECTION FEATURES OPTIMIZATION OF DYNAMIC SECURITY ANALYSIS BASED ON DECISION TABLES-ROUGH SET THEORY

Yan Yu, Liu Tianqi(Sichuan University, Chengdu 610065, China)  
An ANN injection features optimization method of dynamic security analysis is presented. It combines optimal feature subset of decision tables with element discretization of rough-set. Based on the relatively high accuracy of running point' s classification and stability margins computation, the feature elements are selected from the lager dimensions injections and regarded as ANN injection features. So the number of the injection features can be reduced, and the "dimensions misfortune" problem caused by application of ANN dynamic security regions method to bulk power system is solved. The validity of the method is proved by simulation on PSASP EPRI-36 test system.
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