20.500.12556/RUL-171853 Optimizacija delovanja in ekonomska presoja naložbe v baterijski hranilnik električne energije Optimization of operation and economic assessment of an investment in a battery energy storage system V diplomskem delu smo raziskovali ekonomsko upravičenost investicije v baterijski hranilnik v kombinaciji z večjo sončno elektrarno, katerega poslovni model temelji na izkoriščanju nestanovitnosti cen na trgu z električno energijo. Cilj je bil z optimizacijskim modelom določiti optimalno velikost in strategijo delovanja hranilnika ter celovito oceniti donosnost naložbe pri prodaji električne energije na slovenskem veleprodajnem trgu. Analiza je temeljila na optimizacijskem modelu linearnega programiranja, za kar smo uporabili realne urne podatke proizvodnje in tržnih cen z borze BSP Southpool za leto 2024. Model, razvit v okolju Python, je upošteval ključne tehnične in ekonomske parametre, kot so izkoristki, stroški degradacije in investicijski vložek. S pomočjo simulacij smo najprej določili tehnično in ekonomsko optimalno konfiguracijo hranilnika, nato pa smo analizirali več scenarijev, ki so vključevali vpliv subvencij in spremenljivo volatilnost cen. Analiza osnovnega scenarija, ki ni vključeval finančnih spodbud, je pokazala, da investicija ni ekonomsko upravičena, saj prihodki iz časovnega premika energije niso zadoščali za pokritje visokih začetnih stroškov. Nasprotno pa je bilo jasno razvidno, da se ekonomska slika bistveno izboljša ob vključitvi subvencije, s čimer projekt doseže zahtevani prag donosnosti. Zaključimo lahko, da so podporni mehanizmi trenutno nujen in ključen pogoj za ekonomsko upravičenost tovrstnih naložb v Sloveniji. In this diploma thesis, we investigated the economic viability of an investment in a battery energy storage system combined with a large-scale solar power plant, whose business model is based on exploiting price volatility in the electricity market. The objective was to use an optimization model to determine the optimal size and operating strategy of the storage system and to comprehensively assess the profitability of the investment from selling electricity on the Slovenian wholesale market. The analysis was based on a linear programming optimization model, for which we used real hourly production data and market prices from the BSP Southpool exchange for the year 2024. The model, developed in the Python environment, considered key technical and economic parameters, such as efficiency, degradation costs, and the capital investment. Through simulations, we first determined the technically and economically optimal configuration of the storage system, followed by an analysis of several scenarios that included the impact of subsidies and varying price volatility. The analysis of the base scenario, which did not include financial incentives, showed that the investment is not economically viable, as the revenue from energy time-shifting was insufficient to cover the high initial costs. Conversely, it was clearly evident that the economic outlook improves significantly with the inclusion of a subsidy, allowing the project to meet the required profitability threshold. We can conclude that support mechanisms are currently a necessary and crucial condition for the economic viability of such investments in Slovenia. hranilnik električne energije ekonomska analiza optimizacija sončna elektrarna trg z električno energijo linearno programiranje battery energy storage system economic analysis optimization solar power plant electricity market linear programming true false false Slovenski jezik Angleški jezik Diplomsko delo/naloga 2025-09-03 12:05:18 2025-09-03 12:05:24 2025-09-22 04:06:38 0000-00-00 00:00:00 2025 0 0 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 63108 248433411 Atanasovski_Zan_-_Optimizacija_delovanja_in_ekonomska_presoja_nalozbe_v_baterijski_hranilnik_ele.pdf Atanasovski_Zan_-_Optimizacija_delovanja_in_ekonomska_presoja_nalozbe_v_baterijski_hranilnik_ele.pdf 1 1E8B5B47ADB6435A0C248ADD6AD6BA2C 0463b3580679728828c61d0bebcc30a2b215b88802b11c27dc99d60f91658fbc 5c68e0b2-88ad-11f0-9328-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=215380 Fakulteta za elektrotehniko 0 0 0