Pregled bibliografske jedinice broj: 990595
Price-Optimal Energy Flow Control of a Building Microgrid Connected to a Smart Grid
Price-Optimal Energy Flow Control of a Building Microgrid Connected to a Smart Grid // Proceedings of the 2018 26th Mediterranean Conference on Control and Automation (MED)
Zadar, Hrvatska: Institute of Electrical and Electronics Engineers (IEEE), 2018. str. 825-830 doi:10.1109/MED.2018.8443296 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Price-Optimal Energy Flow Control of a Building
Microgrid Connected to a Smart Grid
Autori
Marušić, Danko ; Lešić, Vinko ; Capuder, Tomislav ; Vašak, Mario
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 2018 26th Mediterranean Conference on Control and Automation (MED)
/ - : Institute of Electrical and Electronics Engineers (IEEE), 2018, 825-830
Skup
26th Mediterranean Conference on Control and Automation (MED 2018)
Mjesto i datum
Zadar, Hrvatska, 19.06.2018. - 22.06.2018
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
buildings ; microgrids ; energy management ; batteries ; optimization ; production ; energy exchangee
Sažetak
This paper discusses model predictive control for energy flows in a microgrid as a part of the overall hierarchical organization of energy management in a building. The control is performed in the presence of time-varying building and grid conditions: weather-dependent production, energy prices and consumption. Detailed analysis of microgrid energy and operation cost is presented with real weather data and energy prices, building dynamics and optimal building consumption. Cost- optimal interaction between the building-side energy management system and the grid in conditions of volatile energy price and possibility of building's active participation in the energy market is proposed. Model predictive controller for optimizing total economic cost of energy and microgrid operation is implemented and verified on a model of a building belonging to University of Zagreb, Faculty of Electrical Engineering and Computing, using actual test site data for 2014. Reduction of maximum power, minimization of energy consumption, storage degradation during operation, day-ahead energy profile following and intra-day deviations as energy market incentives are included in the cost function for ensuring building ancillary services as a prosumer in the smart grid.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb