Metode optimizacije i primene veštačke inteligencije u efikasnoj integraciji vehicle-to-grid sistema / Optimization Frameworks and Artificial Intelligence Applications for Efficient Vehicle-To-Grid Integration

Energija, ekonomija, ekologija, 1, XXVIII (2026) (8-15 стр.)

АУТОР(И) / AUTHOR(S): Luka Zoroje , Doroteja Zarev , Balša Ćeranić , Predrag Stefanov , Jelena Stojković Terzić , Leposava Ristić , Andrea Bonfiglio

 

 

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DOI: https://doi.org/10.46793/EEE26-1.08Z

САЖЕТАК / ABSTRACT:

Tehnologija Vehicle-to-Grid (V2G) pojavila se kao perspektivno rešenje za unapređenje fleksibilnosti, pouzdanosti i održivosti savremenih elektroenergetskih sistema u uslovima brzog rasta broja električnih vozila i distribuiranih energetskih resursa. Efikasna primena V2G koncepta zahteva razvoj i primenu optimizacionih algoritama koji su u stanju da istovremeno obuhvate tehničke, ekonomske, ekološke i korisnički orijentisane ciljeve. Rezultati mnogih studija pokazuju da čak i primena jednostavnih algoritama može značajno smanjiti operativne troškove mreže u poređenju sa scenarijima bez ikakve intervencije. Ovaj rad pruža kratak pregled optimizacionih strategija za integraciju V2G sistema, sa fokusom na ključne ciljeve kao što su minimizacija gubitaka energije, upravljanje naponskim i tehničkim ograničenjima, smanjenje troškova punjenja, maksimizacija prihoda, ublažavanje emisija štetnih gasova i očuvanje stanja baterija. Determinističke, metaheurističke, višekriterijumske i tržišno orijentisane metode sistematski su razmotrene, uz isticanje njihove primenljivosti, prednosti i ograničenja u različitim operativnim uslovima. Posebna pažnja posvećena je sve većoj primeni veštačke inteligencije u V2G sistemima koja nudi moćne alate za upravljanje složenim interakcijama između električnih vozila, infrastrukture za punjenje i elektroenergetske mreže. Najzad, identifikovani su ključni izazovi optimizacije i upotrebe veštačke inteligencije, čime se ukazuju glavni pravci budućih istraživanja za primenu inteligentnih V2G sistema u velikom obimu.

КЉУЧНЕ РЕЧИ / KEYWORDS:

električna vozila, vehicle-to-grid, optimizacija, veštačka inteligencije, inteligentne mreže

ПРОЈЕКАТ / ACKNOWLEDGEMENT:

Ovaj rad je deo projekta E-COSMOS koji predstavlja bilateralnu saradnju izmedju Elektrotehničkog fakulteta Univerziteta u Beogradu, Fakulteta inženjerskih nauka Univerziteta u Kragujevcu i Fakulteta za elektrotehniku, elektroniku, telekomunikacije i brodogradnju Univerziteta u Đenovi.

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