Pregled bibliografske jedinice broj: 1146788
Optimal Cooperative Scheduling of Multi-Energy Microgrids Under Uncertainty
Optimal Cooperative Scheduling of Multi-Energy Microgrids Under Uncertainty // 4th International Conference on Smart Energy Systems and Technologies (SEST 2021)
Vaasa, Finska: Institute of Electrical and Electronics Engineers (IEEE), 2021. str. 1-6 doi:10.1109/sest50973.2021.9543123 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1146788 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Optimal Cooperative Scheduling of Multi-Energy
Microgrids Under Uncertainty
Autori
Kostelac, Matija ; Herencic, Lin ; Capuder, Tomislav
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Skup
4th International Conference on Smart Energy Systems and Technologies (SEST 2021)
Mjesto i datum
Vaasa, Finska, 06.09.2021. - 08.09.2021
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
microgrid, stochastic optimization, cooperation, multi-energy
Sažetak
With the restructuring of the power system, household level end-users are becoming active participants in the electricity market. Since their size is negligible versus the size of the whole system, they are encouraged to group into energy communities such as microgrids (MG). They operate parallel to the rest of the system and their operation is driven by market signals with the goal of minimizing energy costs for MG stakeholders by utilizing available resources in their portfolio. The complexity of optimizing MG operation increases with the introduction of additional energy vectors and their interaction with the electricity sector, but also with the possibility to provide services on multiple markets and on different time horizons. In the paper we consider different decarbonization strategies of several MGs, modelling 3 main cases: full electrification, gas-heat-electricity and electricity-hydrogen coupling. While each of these options can separately achieve savings, cooperation between different MGs can bring additional benefits for all involved parties. To evaluate these benefits we propose a stochastic two-stage mixed integer linear model for multi MG cooperation and bring the conclusions on the value of their joint market participation through several exchange scenarios. This is expressed through operational costs savings on annual and daily basis as well as through other metrics such as self sufficiency and CO2 savings.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Interdisciplinarne tehničke znanosti
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
