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

conference contribution
posted on 2023-05-24, 17:24 authored by Michael NegnevitskyMichael Negnevitsky
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.

History

Publication title

Proceedings of the 9th International Scientific Symposium on Electrical Power Engineering (ELEKTRENERGETIKA 2017)

Volume

9

Pagination

30-35

ISBN

9781510846531

Department/School

School of Engineering

Publisher

Institute of Electrical and Electronics Engineers

Place of publication

United States

Event title

International Scientific Symposium on Electrical Power Engineering (ELEKTRENERGETIKA 2017)

Event Venue

Stara Lesna, Slovakia

Date of Event (Start Date)

2017-07-12

Date of Event (End Date)

2017-07-14

Rights statement

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

Repository Status

  • Restricted

Socio-economic Objectives

Machinery and equipment not elsewhere classified

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