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Pre-emergency power system security assessment and control using artificial intelligence approaches
conference contribution
posted on 2023-05-23, 08:13 authored by Michael NegnevitskyMichael Negnevitsky, Rehtanz, C, Tomin, N, Kurbatsky, V, Panasetsky, DModern electricity grids continue to be vulnerable to large-scale blackouts. During the past ten years events in North America, Europe and Asia have clearly demonstrated an increasing likelihood of large blackouts. If pre-emergency conditions are identified, preventive actions can be taken, and large-scale blackouts avoided. In the current competitive environment, such conditions may not be easily detected because different problems may simultaneously occur in different parts of a large network within different jurisdictions. In the paper a novel viable approach is proposed to minimise the threat of large-scale blackouts. The proposed system consist of two main parts: the alarm trigger, an intelligent neural network-based system for early detection of possible alarm states in a power system, and the competitive–collaborative multi-agent control system. We demonstrated the approach on the modified 53-bus IEEE power system. Results are presented and discussed.
History
Publication title
Proceedings of the Australasian Universities Power Engineering Conference, AUPEC 2013Editors
M NegnevitskyPagination
1-6ISBN
978-186295913-2Department/School
School of EngineeringPublisher
IEEEPlace of publication
Hobart, AustraliaEvent title
Australasian Universities Power Engineering Conference, AUPEC 2013Event Venue
Hobart, AustraliaDate of Event (Start Date)
2013-09-29Date of Event (End Date)
2013-10-03Rights statement
Copyright 2013 IEEERepository Status
- Restricted