Assessment of non-centralised model predictive control techniques for electrical power networks

R.M. Hermans, A. Jokic, M. Lazar, A. Alessio, P.P.J. Bosch, van den, I.A. Hiskens, A. Bemporad

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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.
Original languageEnglish
Pages (from-to)1162-1177
JournalInternational Journal of Control
Volume85
Issue number8
DOIs
Publication statusPublished - 2012

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    Hermans, R. M., Jokic, A., Lazar, M., Alessio, A., Bosch, van den, P. P. J., Hiskens, I. A., & Bemporad, A. (2012). Assessment of non-centralised model predictive control techniques for electrical power networks. International Journal of Control, 85(8), 1162-1177. https://doi.org/10.1080/00207179.2012.679972