Pregled bibliografske jedinice broj: 653268
Almost decentralized model predictive control of power networks
Almost decentralized model predictive control of power networks // Proceedings of the 15th IEEE Mediterranean Electrotechnical Conference
Valletta, Malta, 2010. (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 653268 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Almost decentralized model predictive control of power networks
Autori
Hermans, R.M. ; Lazar, M ; Jokić, Andrej ; Bosch, P.P.J. van den
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 15th IEEE Mediterranean Electrotechnical Conference
/ - , 2010
Skup
IEEE Mediterranean Electrotechnical Conference 2010
Mjesto i datum
Valletta, Malta, 2010
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
model predictive control; distributed control; large-scale systems; power systems
Sažetak
Stable operation of the electrical power grid in the future will require novel, advanced control techniques for supply and demand matching, as a consequence of the liberalization and decentralization of electrical power generation. Currently, there is an increasing interest for using model predictive control (MPC) for power balancing. However, a centralized implementation of MPC is hampered by the large scale and complexity of power networks. Non-centralized, scalable control schemes are more suited for future application. In this paper we therefore propose a novel almost-decentralized Lyapunov-based predictive control algorithm for power balancing, i.e., for asymptotic stabilization of the network frequency. The algorithm is particularly suited for large-scale power networks, as it requires only local information and limited communication between directly-neighboring control areas to provide a stabilizing control action. We assess the suitability of this scheme and compare it with state-of-the-art non-centralized MPC in a benchmark case study.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Strojarstvo, Temeljne tehničke znanosti