eprintid: 1264
rev_number: 9
eprint_status: archive
userid: 6
dir: disk0/00/00/12/64
datestamp: 2012-04-26 10:50:14
lastmod: 2012-07-06 12:20:13
status_changed: 2012-07-06 12:20:13
type: article
metadata_visibility: show
creators_name: Hermans, Ralph M.
creators_name: Jokic, Andrej
creators_name: Lazar, Mircea
creators_name: Alessio, Alessandro
creators_name: Van den bosch, Paul
creators_name: Hiskens, Ian
creators_name: Bemporad, Alberto
creators_id: 
creators_id: 
creators_id: 
creators_id: 
creators_id: 
creators_id: 
creators_id: alberto.bemporad@imtlucca.it
title: Assessment of non-centralised model predictive control techniques for electrical power networks
ispublished: pub
subjects: QA75
subjects: TJ
divisions: CSA
full_text_status: none
keywords: Model Predictive Control, decentralised control, distributed control, power systems
note: Available online: 20 Apr 2012
abstract:  Model predictive control (MPC) is one of the few advanced control methodologies that have proven to be very successful in real-life applications. An attractive feature of MPC is its capability of explicitly taking state and input constraints into account. Recently, there has been an increasing interest in the usage of MPC schemes to control electrical power networks. The major obstacle for implementation lies in the large scale of these systems, which is prohibitive for a centralised approach. In this article, we therefore assess and compare the suitability of several non-centralised predictive control schemes for power balancing, to provide valuable insights that can contribute to the successful implementation of non-centralised MPC in the real-life electrical power system. 
date: 2012-04
date_type: published
publication: International Journal of Control 
volume: 85
number: 8
publisher: Taylor & Francis
pagerange: 1162-1177
id_number: 10.1080/00207179.2012.679972
refereed: TRUE
issn: 0020-7179
official_url: http://www.tandfonline.com/doi/abs/10.1080/00207179.2012.679972
citation:   Hermans, Ralph M. and Jokic, Andrej and Lazar, Mircea and Alessio, Alessandro and Van den bosch, Paul and Hiskens, Ian and Bemporad, Alberto  Assessment of non-centralised model predictive control techniques for electrical power networks.  International Journal of Control , 85 (8).  pp. 1162-1177.  ISSN 0020-7179      (2012)