Pregled bibliografske jedinice broj: 888862
Power System Transient Stability Analysis Using Hybrid Model Based on the Finite Element Method
Power System Transient Stability Analysis Using Hybrid Model Based on the Finite Element Method // International review of civil engineering, 12 (2017), 3; 213-218 doi:10.15866/iree.v12i3.11726 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 888862 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Power System Transient Stability Analysis Using Hybrid Model Based on the Finite Element Method
Autori
Jurić-Grgić, Ivica ; Grulović-Plavljanić, Nedjeljka ; Dabro, Mate
Izvornik
International review of civil engineering (2036-9913) 12
(2017), 3;
213-218
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
finite element method ; power system transient stability ; time domain analysis
Sažetak
This paper presents a simple, but very powerful, numerical algorithm for the power system transient stability simulation. The aim of this paper is to fill the gap between the Transient Stability Programs (TSP) and the Electromagnetic Transient Programs (EMTP) by developing a new simulation tool based on the finite element (FE) representation of the power system element. The proposed hybrid model based on the Finite Element Method (FEM) allows us to avoid disadvantages of TSP comparing to EMTP that leads to the simulation of the electromechanical transients in a more accurate and efficient way. In order to show the principles of the proposed method in details, the proposed numerical method has been tested and compared to the solutions obtained by the well known and established EMTP simulation tool where a very good correlation has been demonstrated.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split
Citiraj ovu publikaciju:
Časopis indeksira:
- Scopus
Uključenost u ostale bibliografske baze podataka::
- Cambridge Scientific Abstracts (CSA/CIG), Academic Search Complete (EBSCO Information Services), Elsevier Bibliographic Database - SCOPUS, Google Scholar
