Pregled bibliografske jedinice broj: 653198
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 (2012), 8; 1162-1177 doi:10.1080/00207179.2012.679972 (međunarodna recenzija, članak, znanstveni)
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Naslov
Assessment of non-centralised model predictive control techniques for electrical power networks
Autori
Hermans, Ralph M. ; Jokić, Andrej ; Lazar, Mircea ; Alessio, Alessandro ; Van den Bosch, Paul P.J. ; Hiskens, Ian A. ; Bemporad, Alberto
Izvornik
International journal of control (0020-7179) 85
(2012), 8;
1162-1177
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
model predictive control; decentralised control; distributed control; power systems
Sažetak
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.
Izvorni jezik
Engleski
Znanstvena područja
Temeljne tehničke znanosti
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus