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Computational Intelligence Applications to Crisis Management in Power Systems


Negnevitsky, M, Computational Intelligence Applications to Crisis Management in Power Systems, International Journal of Automation and Control, 2, (2/3) pp. 247-273. ISSN 1740-7516 (2008) [Refereed Article]

DOI: doi:10.1504/IJAAC.2008.022180


In emergency conditions, power system operators deal with large amounts of data. Due to psychological stress, operators may not be able to adequately respond to critical conditions and make correct decisions. Mistakes can damage expensive power system equipment or worse lead to major emergencies. Intelligent systems can play an advisory role suggesting the necessary actions to be taken to deal with a given emergency as well as identifying failures of protection systems and circuit breakers. This paper outlines some experience obtained at the University of Tasmania in developing intelligent systems for power systems security. An expert system for clearing overloads applies the network sensitivity factors to reschedule power generation, reconfigure networks and shed loads. An expert system for voltage control is developed for detecting voltage violations and providing a set of control actions to solve voltage problems. Neural networks are used to identify multiple failures of protection and circuit breakers.

Item Details

Item Type:Refereed Article
Research Division:Engineering
Research Group:Electrical engineering
Research Field:Electrical engineering not elsewhere classified
Objective Division:Energy
Objective Group:Other energy
Objective Field:Other energy not elsewhere classified
UTAS Author:Negnevitsky, M (Professor Michael Negnevitsky)
ID Code:55943
Year Published:2008
Deposited By:Centre for Renewable Power Energy Systems
Deposited On:2009-03-14
Last Modified:2017-02-17

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