DocumentCode :
3150227
Title :
Recent trends in intelligent techniques to power systems
Author :
Fozdar, Manoj ; Arora, C.M. ; Gottipati, V.R.
Author_Institution :
Malaviya Nat. Inst. of Technol., Jaipur
fYear :
2007
fDate :
4-6 Sept. 2007
Firstpage :
580
Lastpage :
591
Abstract :
Power systems engineers have always faced numerous problems with complex interconnected power systems. In attempts to solve these problems, many methodologies were tested and implemented. AI techniques being one of them, have gained much recognition since last three to four decades. AI techniques are intended to embed human intelligence into machines so that machine can think intelligently like human beings. They were mainly applied in optimization and control problems of power systems. In decision-making processes, knowledge discovery and knowledge management techniques are continually supporting AI techniques. New techniques, which sprouted up just few years ago, were also used in solving power systems problems. More complex problems demanded combination of techniques, even hybridization of techniques have appeared. In this paper, an attempt has been made to discuss various AI techniques and their present day applications in solving power systems problems.
Keywords :
artificial intelligence; decision making; knowledge management; optimisation; power system interconnection; decision-making processes; intelligent techniques; knowledge management techniques; optimization; power system interconnection; Artificial intelligence; Humans; Hybrid power systems; Machine intelligence; Power engineering and energy; Power system control; Power system interconnection; Power systems; Systems engineering and theory; Testing; Artificial Intelligence; Optimization and Hybridization; Power Systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Universities Power Engineering Conference, 2007. UPEC 2007. 42nd International
Conference_Location :
Brighton
Print_ISBN :
978-1-905593-36-1
Electronic_ISBN :
978-1-905593-34-7
Type :
conf
DOI :
10.1109/UPEC.2007.4469013
Filename :
4469013
Link To Document :
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