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

journal contribution
posted on 2023-05-18, 06:07 authored by Michael NegnevitskyMichael Negnevitsky, Tomin, NV, Rehtanz, C
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, Energy Systems Institute, Russia and TU-Dortmund University, Germany in developing intelligent systems for preventing large-scale emergencies and blackouts in modern power systems.

History

Publication title

Journal of Advanced Computational Intelligence and Intelligent Informatics

Volume

18

Issue

5

Pagination

714-727

ISSN

1343-0130

Department/School

School of Engineering

Publisher

Fuji Technology Press Ltd.

Place of publication

Japan

Rights statement

Copyright 2014 Fuji Technology Press

Repository Status

  • Restricted

Socio-economic Objectives

Energy systems and analysis

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