Pregled bibliografske jedinice broj: 1184358
A robust risk assessment method for energy planning scenarios on smart islands under the demand uncertainty
A robust risk assessment method for energy planning scenarios on smart islands under the demand uncertainty // Energy, 240 (2022), 122769, 15 doi:10.1016/j.energy.2021.122769 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1184358 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
A robust risk assessment method for energy
planning scenarios on smart islands under the
demand uncertainty
Autori
Mimica, Marko ; Giménez de Urtasun, Laura ; Krajačić, Goran
Izvornik
Energy (0360-5442) 240
(2022);
122769, 15
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Power system risk assessment ; Smart islands ; Graph theory ; Power system optimization ; Energy planning ; Robust optimization
Sažetak
Energy systems with a high share of variable renewable energy are more vulnerable to sudden changes in the system operation. This is especially emphasized on small systems such as energy systems on geographical islands. Because of these reasons, there is a need for quantifying the risk of energy scenarios of such systems. This paper presents a novel robust risk assessment method under demand uncertainty for energy planning scenarios for the islands. The method uses graph theory for the representation of power system topology. The Poisson distribution is used for calculating the probability of power system element failure. The robust modelling approach is applied by the introduction of auxiliary variables and compared to the deterministic model results. Four energy planning scenarios for Unije island are modelled and subjugated to several power system outages resulting in a risk vector calculated as the product of probability vector and damage matrix. The study also presents a zero- import risk energy planning scenario for Unije island that is achieved for a system of 0.5 MW photovoltaic plant and 3.55 MWh battery storage system.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Strojarstvo, Interdisciplinarne tehničke znanosti, Informacijske i komunikacijske znanosti
POVEZANOST RADA
Projekti:
EK-H2020-824433 - Maximizing the impact of innovative energy approaches in the EU islands (INSULAE) (Krajačić, Goran, EK - H2020-LC-SC3-2018-ES-SCC) ( CroRIS)
Ustanove:
Fakultet strojarstva i brodogradnje, Zagreb
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus