Pregled bibliografske jedinice broj: 1266953
Optimization of Preconditions in Transmission System Restoration Process by Using Artificial Intelligence
Optimization of Preconditions in Transmission System Restoration Process by Using Artificial Intelligence // IEEE Xplore
Delhi, Indija: IEEE Xplore, 2023. 128, 5 doi:10.1109/IC3I56241.2022.10072443 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1266953 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Optimization of Preconditions in Transmission System
Restoration Process by Using Artificial Intelligence
Autori
Skok, Srđan ; Tosic, Josip ; Teklic, Ljupko
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
IEEE Xplore
/ - : IEEE Xplore, 2023
ISBN
979-8-3503-9826-7
Skup
5th International Conference on Contemporary Computing and Informatics (IC3I)
Mjesto i datum
Delhi, Indija, 14.12.2022. - 16.12.2022
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
transmission restoration ; optimization methods ; artificial intelligence ; transmission system simulations
Sažetak
This paper presents a proposal of an algorithm for establishing the optimal switching state of the network before the start of the system restoration process. The objective function of the optimization process is the maximization of the integrated load in individual hubs of the transmission network. Proposed optimization method is based on artificial intelligence – neural network trained by offline restoration simulations.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Projekti:
UNIN--UNIN-TEH-22-1-5 - Aktivni obnovljivi izvori energije u funkciji regulacije i očuvanja stabilnosti napredne elektroenergetske mreže (Skok, Srđan, UNIN ) ( CroRIS)
Ustanove:
Sveučilište Sjever, Koprivnica
