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Pregled bibliografske jedinice broj: 720061

Model Predictive Control for Scheduling of Flexible Microgrid Systems


Kuzle, Igor; Holjevac, Ninoslav; Capuder, Tomislav
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)


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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

Profili:

Avatar Url Igor Kuzle (autor)

Avatar Url Ninoslav Holjevac (autor)

Avatar Url Tomislav Capuder (autor)

Poveznice na cjeloviti tekst rada:

Pristup cjelovitom tekstu rada

Citiraj ovu publikaciju:

Kuzle, Igor; Holjevac, Ninoslav; Capuder, Tomislav
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)
Kuzle, I., Holjevac, N. & Capuder, T. (2014) Model Predictive Control for Scheduling of Flexible Microgrid Systems. U: Ban, M. (ur.)Digital Proceedings of the 9th Conference on Sustainable Development of Energy, Water and Environment Systems - SDEWES.
@article{article, author = {Kuzle, Igor and Holjevac, Ninoslav and Capuder, Tomislav}, editor = {Ban, M.}, year = {2014}, pages = {SDEWES2014.0087-1-SDEWES2014.0087-21}, keywords = {Flexible units, Microgrids, Mixed Integer Linear Programming (MILP), Model Predictive Control (MPC), Renewable Energy Sources (RES), Uncertainty}, title = {Model Predictive Control for Scheduling of Flexible Microgrid Systems}, keyword = {Flexible units, Microgrids, Mixed Integer Linear Programming (MILP), Model Predictive Control (MPC), Renewable Energy Sources (RES), Uncertainty}, publisher = {University of Zagreb Faculty of Mechanical Engineering and Naval Architecture}, publisherplace = {Venecija, Italija; Istambul, Turska} }
@article{article, author = {Kuzle, Igor and Holjevac, Ninoslav and Capuder, Tomislav}, editor = {Ban, M.}, year = {2014}, pages = {SDEWES2014.0087-1-SDEWES2014.0087-21}, keywords = {Flexible units, Microgrids, Mixed Integer Linear Programming (MILP), Model Predictive Control (MPC), Renewable Energy Sources (RES), Uncertainty}, title = {Model Predictive Control for Scheduling of Flexible Microgrid Systems}, keyword = {Flexible units, Microgrids, Mixed Integer Linear Programming (MILP), Model Predictive Control (MPC), Renewable Energy Sources (RES), Uncertainty}, publisher = {University of Zagreb Faculty of Mechanical Engineering and Naval Architecture}, publisherplace = {Venecija, Italija; Istambul, Turska} }




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