Dynamic Security Assessment For Power System Using Attribute Selection Technique

The evaluation of the dynamic security electrical power system after occurrence disturbances in network is one most important tools that control center uses to maintain a safe operating mode, as well prevent cases out and complete shutdown. With annual increase size its distribution over very wide geographical area, this led new challenge assess assessment (DSA), which dealing with huge varied amount data requires processing short time. To address these challenges, study presented technique artificial intelligence, attribute selection technique, reduce thus improve accuracy speed results. This method relied on combination decision tree algorithms (Attribute selection) obtained from test (IEEE-30Bus). results showed significant reduction number used, amounted (45.55%) total data, Which an improvement classification accuracy, reached (97.27%). when online environment, it saves time necessary reach accurate issue gives greater opportunity take appropriate event keep secure state.