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A neural multi-agent-based approach for preventing blackouts in power systems
conference contribution
posted on 2023-05-23, 09:42 authored by Michael NegnevitskyMichael Negnevitsky, Tomin, N, Panasetsky, D, Haeger, U, Voropai, N, Rehtanz, C, Kurbatsky, VA neural multi-agent-based approach for system monitoring and preventing large-scale emergencies in power systems is presented in this paper. The automatic emergency control process is represented as a neural multi-agent system with hierarchical architecture. The proposed system consist of two main parts: the alarm trigger, a Kohonen neural network-based system for early detection of possible alarm states in a power system, and the competitive-collaborative multi-agent control system. For demonstration purposes, we investigated conventional and neural multi-agent automatic control schemes. Results are presented and discussed.
History
Publication title
Proceedings of the International Conference on Agents and Artificial Intelligence (ICAART 2014)Editors
B Duval, H Jaap van den Herik, S Loiseau, J FilipePagination
565-570ISBN
978-989-758-015-4Department/School
School of EngineeringPublisher
SCITEPRESSPlace of publication
Angers, FranceEvent title
International Conference on Agents and Artificial Intelligence (ICAART 2014)Event Venue
Angers, FranceDate of Event (Start Date)
2014-03-06Date of Event (End Date)
2014-03-08Rights statement
Copyright 2014 SCITEPRESSRepository Status
- Restricted