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Preventing large-scale emergencies in modern power systems: AI approach

Negnevitsky, M ORCID: 0000-0002-5130-419X 2017 , 'Preventing large-scale emergencies in modern power systems: AI approach', in Proceedings of the 9th International Scientific Symposium on Electrical Power Engineering (ELEKTRENERGETIKA 2017) , Institute of Electrical and Electronics Engineers, United States, pp. 30-35 .

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Abstract

In recent years, due to liberalization, power systems are being operated closer and closer to their limits. At the same time, they have increased in size and complexity. Both factors increase the risk of major power outages and blackouts. In emergency and abnormalconditions, a power system operator has to deal with large amounts of data. However, due to emotional and psychological stress, an operator may not be able to respond to critical conditions adequately and make correct decisions promptly. Mistakes can damage very expensive power system equipment or worse lead to major emergencies and catastrophic situations. Intelligent systems can play an important role by alarming the operator and suggesting the necessary actions to be taken to deal with a given emergency. This paper outlines some experience obtained at the University of Tasmania, Australia, in developing intelligent systems for preventing large-scale emergencies and blackouts in modern powersystems.

Item Type: Conference Publication
Authors/Creators:Negnevitsky, M
Keywords: power system, emergency condition, computational intelligence, disaster management.
Journal or Publication Title: Proceedings of the 9th International Scientific Symposium on Electrical Power Engineering (ELEKTRENERGETIKA 2017)
Publisher: Institute of Electrical and Electronics Engineers
Copyright Information:

Copyright 2017 Technical University of Kosice – Department of Electrical Power Engineering

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