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

Hermans, Ralph M. and Jokić, Andrej and Lazar, Mircea and Alessio, Alessandro and Van den Bosch, Paul P.J. and Hiskens, Ian A. and Bemporad, Alberto (2012) Assessment of non-centralised model predictive control techniques for electrical power networks. = Assessment of non-centralised model predictive control techniques for electrical power networks. International journal of control, 85 (8). pp. 1162-1177. ISSN 0020-7179. Vrsta rada: ["eprint_fieldopt_article_type_article" not defined]. Kvartili JCR: Q3 (2012). Točan broj autora: 7.

[img] Text
Jokić, Andrej_Assessment of non centralised model predictive control techniques for electrical power networks.pdf - Published Version
Restricted to IP adress Jezik dokumenta:English

Download (964kB)
Official URL: https://doi.org/10.1080/00207179.2012.679972

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.

Item Type: Article (["eprint_fieldopt_article_type_article" not defined])
Keywords (Croatian): model predictive control; decentralised control; distributed control; power systems
Subjects: TECHNICAL SCIENCE > Basic technical sciences
Divisions: 900 Department of Robotics and Production System Automation > 910 Chair of Engineering Automation
Indexed in Web of Science: Yes
Indexed in Current Contents: Yes
Quartiles: Q3 (2012)
Date Deposited: 29 Feb 2016 14:31
Last Modified: 19 Nov 2018 16:24
URI: http://repozitorij.fsb.hr/id/eprint/5150

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year