Naslov
Assessment of decentralized model predictive control techniques for power networks

Autori
Damoiseaux, A.C.R.M. ; Jokić, Andrej ; Lazar, M. ; Bosch, P.P.J. van den ; Hiskens, I.A. ; Bemporad, A.

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 16th Power Systems Computation Conference / - , 2008

Skup
Power Systems Computation Conference

Mjesto i datum
Glasgow, Ujedinjeno Kraljevstvo, 2008

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Model predictive control; Decentralized 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 control applications. MPC has the capability to guarantee optimality with respect to a desired performance cost function, while explicitly taking constraints into account. Recently, there has been an increasing interest in the usage of MPC schemes to control power networks. The major obstacle for implementation lies in the large scale of power networks, which is prohibitive for a centralized approach. In this paper we critically assess and compare the suitability of three model predictive control schemes for controlling power networks. These techniques are analyzed with respect to the following relevant characteristics: the performance of the closed-loop system, which is evaluated and compared to the performance achieved with the classical automatic generation control (AGC) structure ; the decentralized implementation, which is investigated in terms of size of the models used for prediction, required measurements and data communication, type of cost function and the computational time required by each algorithm to obtain the control action. Based on the investigated properties mentioned above, the study presented in this paper provides valuable insights that can contribute to the successful decentralized implementation of MPC in real-life electrical power networks.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Strojarstvo, Temeljne tehničke znanosti

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