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

Citation

Negnevitsky, M, Preventing large-scale emergencies in modern power systems: AI approach, Proceedings of the 9th International Scientific Symposium on Electrical Power Engineering (ELEKTRENERGETIKA 2017), 12-14 July 2017, Stara Lesna, Slovakia, pp. 30-35. ISBN 9781510846531 (2017) [Conference Extract]

Copyright Statement

Copyright 2017 Technical University of Kosice Department of Electrical Power Engineering

Official URL: http://www.proceedings.com/35784.html

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 abnormal conditions, 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 power systems.

Item Details

Item Type:Conference Extract
Keywords:power system, emergency condition, computational intelligence, disaster management.
Research Division:Engineering
Research Group:Electrical and Electronic Engineering
Research Field:Control Systems, Robotics and Automation
Objective Division:Manufacturing
Objective Group:Machinery and Equipment
Objective Field:Machinery and Equipment not elsewhere classified
UTAS Author:Negnevitsky, M (Professor Michael Negnevitsky)
ID Code:124539
Year Published:2017
Deposited By:Engineering
Deposited On:2018-02-23
Last Modified:2018-12-14
Downloads:0

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