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)Full text not available from this repository.
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.
|Additional Information:||Available online: 20 Apr 2012|
|Uncontrolled Keywords:||Model Predictive Control, decentralised control, distributed control, power systems|
|Subjects:||Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TJ Mechanical engineering and machinery
|Research Area:||Computer Science and Applications|
|Depositing User:||Ms T. Iannizzi|
|Date Deposited:||26 Apr 2012 10:50|
|Last Modified:||06 Jul 2012 12:20|
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