Pregled bibliografske jedinice broj: 952060
Modelling Aspects of Flexible Multi-Energy Microgrids
Modelling Aspects of Flexible Multi-Energy Microgrids // 2018 Power Systems Computation Conference (PSCC)
Lahti: Institute of Electrical and Electronics Engineers (IEEE), 2018. 1, 7 doi:10.23919/pscc.2018.8442468 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 952060 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Modelling Aspects of Flexible Multi-Energy Microgrids
Autori
Holjevac, Ninoslav ; Capuder, Tomislav ; Kuzle, Igor ; Zhang, Ning ; Kang, Chongquing
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
2018 Power Systems Computation Conference (PSCC)
/ - Lahti : Institute of Electrical and Electronics Engineers (IEEE), 2018
ISBN
978-1-910963-10-4
Skup
Power Systems Computation Conference (PSCC)
Mjesto i datum
Dublin, Irska, 11.06.2018. - 15.06.2018
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Multi-Energy Systems, Microgrids, Flexibility, Corrective scheduling
Sažetak
The paper presents a corrective receding horizon mixed integer linear programming (MILP) model of multienergy microgrid (MEM). The operational behavior of local, aggregated generating units, renewable energy sources and customers is investigated through different modelling assumptions and multiple MEM system configurations/layouts. The results clearly show how operational points of multi-energy units, also of the MEM as a single entity, depend on modelling assumptions, in particular, those of converting device efficiencies. These approximations, often used in MEM planning models or matrix Energy Hub concepts, have negligible impact when it comes to long term analyses. However they result in significantly different flexibility indicators in short term operational time frame when compared to the more accurate models. This paper elaborates how these assumptions affect MEM behavior in market driven environment and demonstrates MEM capability to respond to intra-day disturbances caused by variability and uncertainty inherent to the production of the renewable energy sources (RES).
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb