TY  - JOUR
SN  - 0020-7179
N2  -  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. 
KW  - Model Predictive Control
KW  -  decentralised control
KW  -  distributed control
KW  -  power systems
AV  - none
TI  - Assessment of non-centralised model predictive control techniques for electrical power networks
UR  - http://www.tandfonline.com/doi/abs/10.1080/00207179.2012.679972
N1  - Available online: 20 Apr 2012
ID  - eprints1264
EP  - 1177
PB  - Taylor & Francis
A1  - Hermans, Ralph M.
A1  - Jokic, Andrej
A1  - Lazar, Mircea
A1  - Alessio, Alessandro
A1  - Van den bosch, Paul
A1  - Hiskens, Ian
A1  - Bemporad, Alberto
SP  - 1162
Y1  - 2012/04//
IS  - 8
JF  - International Journal of Control 
VL  - 85
ER  -