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Preventing Large-Scale Emergencies in Modern Power Systems: AI Approach

Michael Negnevitsky
University of Tasmania, Australia


     Last modified: 2017-05-09

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 operatormay 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, Energy Systems Institute, Russia and TU-Dortmund University,
Germany in developing intelligent systems for preventing large-scale emergencies and blackouts in
modern power systems.

 

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