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A neural multi-agent-based approach for preventing blackouts in power systems


Negnevitsky, M and Tomin, N and Panasetsky, D and Haeger, U and Voropai, N and Rehtanz, C and Kurbatsky, V, A neural multi-agent-based approach for preventing blackouts in power systems, Proceedings of the International Conference on Agents and Artificial Intelligence (ICAART 2014), 6-8 March, Angers, France, pp. 565-570. ISBN 978-989-758-015-4 (2014) [Refereed Conference Paper]

Copyright Statement

Copyright 2014 SCITEPRESS

DOI: doi:10.5220/0004906505650570


A 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.

Item Details

Item Type:Refereed Conference Paper
Keywords:blackouts, pre-emergency control, voltage stability,multi-agent control system
Research Division:Engineering
Research Group:Electrical engineering
Research Field:Electrical energy generation (incl. renewables, excl. photovoltaics)
Objective Division:Energy
Objective Group:Energy storage, distribution and supply
Objective Field:Energy systems and analysis
UTAS Author:Negnevitsky, M (Professor Michael Negnevitsky)
ID Code:97651
Year Published:2014
Deposited By:Engineering
Deposited On:2015-01-06
Last Modified:2017-11-06

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