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Pregled bibliografske jedinice broj: 653198

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


Hermans, Ralph M.; Jokić, Andrej; Lazar, Mircea; Alessio, Alessandro; Van den Bosch, Paul P.J.; Hiskens, Ian A.; Bemporad, Alberto
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



POVEZANOST RADA


Ustanove:
Fakultet strojarstva i brodogradnje, Zagreb

Profili:

Avatar Url Andrej Jokić (autor)

Poveznice na cjeloviti tekst rada:

doi

Citiraj ovu publikaciju:

Hermans, Ralph M.; Jokić, Andrej; Lazar, Mircea; Alessio, Alessandro; Van den Bosch, Paul P.J.; Hiskens, Ian A.; Bemporad, Alberto
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)
Hermans, R., Jokić, A., Lazar, M., Alessio, A., Van den Bosch, P., Hiskens, I. & Bemporad, A. (2012) Assessment of non-centralised model predictive control techniques for electrical power networks. International journal of control, 85 (8), 1162-1177 doi:10.1080/00207179.2012.679972.
@article{article, author = {Hermans, Ralph M. and Joki\'{c}, Andrej and Lazar, Mircea and Alessio, Alessandro and Van den Bosch, Paul P.J. and Hiskens, Ian A. and Bemporad, Alberto}, year = {2012}, pages = {1162-1177}, DOI = {10.1080/00207179.2012.679972}, keywords = {model predictive control, decentralised control, distributed control, power systems}, journal = {International journal of control}, doi = {10.1080/00207179.2012.679972}, volume = {85}, number = {8}, issn = {0020-7179}, title = {Assessment of non-centralised model predictive control techniques for electrical power networks}, keyword = {model predictive control, decentralised control, distributed control, power systems} }
@article{article, author = {Hermans, Ralph M. and Joki\'{c}, Andrej and Lazar, Mircea and Alessio, Alessandro and Van den Bosch, Paul P.J. and Hiskens, Ian A. and Bemporad, Alberto}, year = {2012}, pages = {1162-1177}, DOI = {10.1080/00207179.2012.679972}, keywords = {model predictive control, decentralised control, distributed control, power systems}, journal = {International journal of control}, doi = {10.1080/00207179.2012.679972}, volume = {85}, number = {8}, issn = {0020-7179}, title = {Assessment of non-centralised model predictive control techniques for electrical power networks}, keyword = {model predictive control, decentralised control, distributed control, power systems} }

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


Citati:





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