Distributed predictive control of the 7-machine CIGRE power system

R.M. Hermans, M. Lazar, A. Jokic

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

7 Citaten (Scopus)
2 Downloads (Pure)

Samenvatting

Stable operation of the future electrical power system will require efficient techniques for supply-demand balancing, i.e., load-frequency control, due to liberalization of electrical energy production. Currently, there is a growing interest for asymptotically stabilizing the grid frequency via model predictive control (MPC). However, the centralized implementation of standard MPC is hampered by the scale and complexity of power networks. In this paper we therefore evaluate the suitability of a scalable, distributed Lyapunovbased MPC algorithm as an alternative to conventional balancing techniques. The approach is particularly suited for largescale power networks, as it employs only local information and limited communication between directly-coupled generator buses to provide a stabilizing control action. The effectiveness of the distributed control scheme is assessed by simulating it in closed-loop with the 7-machine CIGRE benchmark system.
Originele taal-2Engels
TitelProceedings of the American Control Conference 2011 (ACC'11), 29 June - 01 July 2011, San Francisco, CA, USA
Plaats van productiePiscataway
UitgeverijInstitute of Electrical and Electronics Engineers
Pagina's5225-5230
StatusGepubliceerd - 2011
Evenement2011 American Control Conference (ACC 2011), June 29 - July 1, 2011, San Francisco, CA, USA - San Francisco Hilton on O'Farrell Street, San Francisco, CA, Verenigde Staten van Amerika
Duur: 29 jun 20111 jul 2011
http://acc2011.a2c2.org/index.php?r=1&page=Greetings&w=1680&b=0

Congres

Congres2011 American Control Conference (ACC 2011), June 29 - July 1, 2011, San Francisco, CA, USA
Verkorte titelACC 2011
Land/RegioVerenigde Staten van Amerika
StadSan Francisco, CA
Periode29/06/111/07/11
AnderAmerican Control Conference 2011 (ACC'11), San Francisco, CA
Internet adres

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