Pregled bibliografske jedinice broj: 758317
Using an Evolutionary Algorithm for Harmonic Load Modeling by Norton and Thevenin Equivalents
Using an Evolutionary Algorithm for Harmonic Load Modeling by Norton and Thevenin Equivalents // International journal of electrical and computer engineering systems, 5 (2014), 2; 39-45 (međunarodna recenzija, prethodno priopćenje, znanstveni)
CROSBI ID: 758317 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Using an Evolutionary Algorithm for Harmonic Load Modeling by Norton and Thevenin Equivalents
Autori
Bilandžija, Domagoj ; Barukčić, Marinko ; Ćorluka, Venco
Izvornik
International journal of electrical and computer engineering systems (1847-6996) 5
(2014), 2;
39-45
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, prethodno priopćenje, znanstveni
Ključne riječi
heuristic optimization ; highdimensional optimization ; nature-inspired algorithms ; optimization techniques
Sažetak
The Norton equivalent model for harmonic load modeling is used widely. The parameters of the model are usually calculated analytically. These calculations are based on measured or simulated voltage/current waveforms. In this case, harmonic analysis is needed to obtain the harmonic spectra. After this step, model parameter values are calculated for each harmonic separately. Relative phase shifts of all measured harmonic voltages and currents are most important for correct calculation of Norton model parameters. Different estimations in the power network are used to determine the phase shifts. The use of an evolutionary algorithm to determine the voltage and current harmonic phase shifts is researched in the paper. The proper optimization problem is defined and an evolutionary algorithm is used to solve the problem. The verification of the method will be done by comparing simulated waveforms obtained by a computer program.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
Napomena
Rad je prezentiran na konferenciji (koja nije imala zbornik radova nego samo sažetak radova): 32nd Science in Practice 2014 (SiP 2014) ; Faculty of Electrical Engineering Josip Juraj Strossmayer University of Osijek, ; 15.-17.10.g. ; Osijek, Hrvatska,
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Emerging Sources Citation Index (ESCI)
- Scopus
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