Pregled bibliografske jedinice broj: 838786
Multi-level Optimal Control of a Microgrid- supplied Cooling System in a Building
Multi-level Optimal Control of a Microgrid- supplied Cooling System in a Building // Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT Europe 2016
Ljubljana, Slovenija, 2016. str. 1-6 doi:10.1109/ISGTEurope.2016.7856211 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 838786 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Multi-level Optimal Control of a Microgrid- supplied
Cooling System in a Building
Autori
Gulin, Marko ; Martinčević, Anita ; Lešić, Vinko ; Vašak, Mario
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT Europe 2016
/ - , 2016, 1-6
Skup
IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT Europe 2016
Mjesto i datum
Ljubljana, Slovenija, 09.10.2016. - 12.10.2016
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Multilevel optimal control ; Building cooling system ; Microgrid ; Smart grid ; Dynamic electricity pricing
Sažetak
Recent studies highlighted the model predictive control as a promising platform for complex systems management and energy efficiency improvement in a large number of applications, particularly prominent in building climate and smart grid control. Involvement of microgrids offered great possibilities of power consumption peak shaving, improved grid stability and decentralisation, by introducing buildings as active market participants. To this aim, the paper is focused on the development of a microgrid optimal control that acts as an intermediary method for integration of a building to the smart grid with dynamic pricing of electricity. A multilevel optimal control is applied on a building cooling system and energy flow optimization of a DC microgrid that consists of a photovoltaic array, batteries stack and fuel cells stack with electrolyser, all connected to the utility grid via a bidirectional power converter. Performance of the proposed approach is verified through 4-month simulations of a microgrid integrated with a building cooling system, in actual meteorological and electricity price data scenario. Microgrid energy storages and the proposed control method fully exploit possibilities of dynamic pricing and greatly reduce cooling system operation costs while ensuring the high level of user comfort.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Temeljne tehničke znanosti
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
