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000000208 001__ 208
000000208 037__ $$aENY-ARTICLE-2008-161
000000208 041__ $$aeng
000000208 088__ $$aI08/2001/I-033
000000208 100__ $$aRebizant, W$$uWroclaw University of Technology, Poland
000000208 245__ $$aOut-of-Step Protection with AI Methods
000000208 260__ $$c2001-03-13
000000208 300__ $$a4p
000000208 500__ $$aSeventh International Conference on Developments in Power System Protection, Amsterdam, 9-12 April 2001. London : IEE, 2001. pp. 295-298.
000000208 520__ $$aIn the paper the results of investigations on the application of Artificial Intelligence (AI) methods to the out-ofstep (OS) protection of synchronous machines are presented. The main efforts have been focused on development of new Artificial Neural Network (ANN) based and mixed protection techniques which should ensure better (faster and more secure) detection of generator loss of synchronism. The designed AI-based OS protection schemes have been thoroughly optimised and tested with EMTP-generated case signals. Wide robustness analysis as well as comparison with chosen standard OS detection method have also been performed.
000000208 6531_ $$aout-of-step protection
000000208 6531_ $$asynchronous machines
000000208 6531_ $$aArtificial Neural Network
000000208 6531_ $$aOS
000000208 6531_ $$aANN
000000208 700__ $$aFeser, K$$uUniversity of Stuttgart, Germany
000000208 8560_ $$fleon99@pwr.wroc.pl
000000208 8564_ $$uhttp://zet10.ipee.pwr.wroc.pl/record/208/files/$$zAccess to Fulltext
000000208 909CO $$ooai:zet10.pwr.wroc.pl:208$$pglobal
000000208 980__ $$aARTICLE