relation: http://eprints.imtlucca.it/1264/
title: Assessment of non-centralised model predictive control techniques for electrical power networks
creator: Hermans, Ralph M.
creator: Jokic, Andrej
creator: Lazar, Mircea
creator: Alessio, Alessandro
creator: Van den bosch, Paul
creator: Hiskens, Ian
creator: Bemporad, Alberto
subject: QA75 Electronic computers. Computer science
subject: TJ Mechanical engineering and machinery
description:  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. 
publisher: Taylor & Francis
date: 2012-04
type: Article
type: PeerReviewed
identifier:   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)  
relation: http://www.tandfonline.com/doi/abs/10.1080/00207179.2012.679972
relation: 10.1080/00207179.2012.679972