Pregled bibliografske jedinice broj: 720061
Model Predictive Control for Scheduling of Flexible Microgrid Systems
Model Predictive Control for Scheduling of Flexible Microgrid Systems // Digital Proceedings of the 9th Conference on Sustainable Development of Energy, Water and Environment Systems - SDEWES / Ban, Marko .... [et al.] (ur.).
Zagreb: University of Zagreb Faculty of Mechanical Engineering and Naval Architecture, 2014. str. SDEWES2014.0087-1 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 720061 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Model Predictive Control for Scheduling of Flexible Microgrid Systems
Autori
Kuzle, Igor ; Holjevac, Ninoslav ; Capuder, Tomislav
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Digital Proceedings of the 9th Conference on Sustainable Development of Energy, Water and Environment Systems - SDEWES
/ Ban, Marko .... [et al.] - Zagreb : University of Zagreb Faculty of Mechanical Engineering and Naval Architecture, 2014, SDEWES2014.0087-1
Skup
9th Conference on Sustainable Development of Energy, Water and Environment Systems
Mjesto i datum
Venecija, Italija; Istambul, Turska, 20.09.2014. - 27.09.2014
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Flexible units ; Microgrids ; Mixed Integer Linear Programming (MILP) ; Model Predictive Control (MPC) ; Renewable Energy Sources (RES) ; Uncertainty
Sažetak
Microgrids, groups of loads and generators in the same location with centralized control, have the ability to balance the variability and the forecast error of the renewable sources (RES) within them, thus reducing the need for the conventional reserve. The main goal of this paper is to explore the influence of the microgrid components on its ability to operate independently from the distribution grid. A deterministic model using mixed integer linear programming (MILP) is developed to simulate the microgrid operation over one year period and used to determine the optimal microgrid parameters with respect to the amount of unused energy. In the second part of this paper a developed model is expanded with model predictive control (MPC) approach to capture the behaviour of the microgrid connected to the rest of the distribution grid, modelling the uncertainties of forecasting RES production by stochastic programming. The model is capable of evaluating the impact of variable energy prices and the impact of energy balancing tariffs depending on the amount of balancing energy needed on the operation of flexible units such as electric heat pumps (EHP), micro Combined Heat and Power plants (µCHP) and heat storage (HS).
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb