DocumentCode :
2672574
Title :
Adaptive Strategies in Power Systems Protection Using Artificial Intelligence Techniques
Author :
Bittencourt, A.A. ; de Carvalho, M.R. ; Rolim, J.G.
Author_Institution :
Dept. of Electr. Eng., Fed. Univ. of Santa Catarina, Florianopolis, Brazil
fYear :
2009
fDate :
8-12 Nov. 2009
Firstpage :
1
Lastpage :
6
Abstract :
The present generation of digital protection devices allows the implementation of adaptive strategies for power system protection. This paper presents an overview of the use of artificial intelligence (AI) techniques to improve some aspects of power systems protection, especially adaptive protection. Each technique is briefly described and in the sequence some applications of this technique to the problem being discussed are presented. The study focuses on the following techniques: multi-agent systems, artificial neural networks, genetic algorithms, expert systems and fuzzy logic. This review shows that with the technology available today, some old unsolved issues of power system protection can now be solved and well-known protection philosophies can become more effective and reliable.
Keywords :
artificial intelligence; expert systems; fuzzy logic; genetic algorithms; multi-agent systems; neural nets; power engineering computing; power system protection; artificial intelligence techniques; artificial neural networks; digital protection devices; expert systems; fuzzy logic; genetic algorithms; multiagent systems; power systems protection; Adaptive systems; Artificial intelligence; Artificial neural networks; Expert systems; Fuzzy logic; Genetic algorithms; Multiagent systems; Power generation; Power system protection; Power system reliability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent System Applications to Power Systems, 2009. ISAP '09. 15th International Conference on
Conference_Location :
Curitiba
Print_ISBN :
978-1-4244-5097-8
Electronic_ISBN :
978-1-4244-5098-5
Type :
conf
DOI :
10.1109/ISAP.2009.5352943
Filename :
5352943
Link To Document :
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