Article (Scientific journals)
Agent-based Identification and Control of Voltage Emergency Situations
Robitzky, Lena; Weckesser, Tilman; Häger, Ulf et al.
2018In IET Generation, Transmission and Distribution, 12 (6), p. 1446–1454
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Abstract :
[en] Changing dynamics of power systems caused by the migration from conventional to distributed energy sources increase the risk of blackouts due to voltage instability, especially in case of unforeseen network conditions (e.g., (N-k)-cases). To enable a both secure and efficient power supply, novel monitoring and emergency control systems for the identification of voltage emergency situations as well as the execution of control actions are required that react reliably in due time and adaptively in case of changing network situations. This paper presents a distributed agent-based approach to counteract voltage instability that is based solely on local measurements and limited inter-agent communication. Distributed agents located at substations in the (sub-)transmission network monitor distribution and transmission voltages as well as load tap changer positions and are able to autonomously curtail load in case system stability is endangered. The applicability of the approach is demonstrated in a co-simulation environment interfacing the multi-agent system with a dynamic power system simulation. The presented approach allows for an early detection of voltage instability as well as a coordinated execution of available control actions.
Research center :
German Research Foundation DFG as part of research unit FOR1511: Protection and Control Systems for Reliable and Secure Operation of Electrical Transmission Systems
Disciplines :
Electrical & electronics engineering
Author, co-author :
Robitzky, Lena
Weckesser, Tilman
Häger, Ulf
Rehtanz, Christian
Van Cutsem, Thierry  ;  Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation
Language :
English
Title :
Agent-based Identification and Control of Voltage Emergency Situations
Publication date :
27 March 2018
Journal title :
IET Generation, Transmission and Distribution
ISSN :
1751-8687
eISSN :
1751-8695
Publisher :
Institution of Engineering & Technology
Volume :
12
Issue :
6
Pages :
1446–1454
Peer reviewed :
Peer Reviewed verified by ORBi
Funders :
F.R.S.-FNRS - Fonds de la Recherche Scientifique [BE]
Available on ORBi :
since 28 November 2017

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