In emergency and abnormal conditions, a power system operator has to deal with a large amount of data and apply the most appropriate remedial actions. However, due to emotional and psychological stress, an operator may not be able to adequately respond to critical conditions and make correct decisions. Mistakes can damage very expensive power system equipment or worse lead to the major emergencies and catastrophic situations. Intelligent systems can play an advisory role, suggesting necessary actions, which should clear a given emergency or abnormal condition. This paper outlines some experience obtained at the School of Engineering, University of Tasmania in developing intelligent knowledge based systems.
Michael Negnevitsky received his BSEE (1st class honours) and Ph.D degrees from Byelorussian University of Technology in 1978 and 1983 respectively. From 1984 to 1991 he worked there as a Senior Research Fellow and Associate Professor in the Department of Electrical Engineering. After his arrival to Australia, Dr M. Negnevitsky worked at Monash University, Melbourne. Currently, he is a Professor in the School of Engineering at the University of Tasmania, Australia. His major interests include power system analysis, power quality and intelligent systems applications in power systems. He has published over 200 papers. Dr M. Negnevitsky is a Senior Member of IEAust and a Member of IEEE. He is also a Member of CIGRE AP36 (Electromagnetic Compatibility), Australian Technical Committee.
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