Pregled bibliografske jedinice broj: 53171
The Self-Organizing Neural Network Applied to Adaptive Distance Protection
The Self-Organizing Neural Network Applied to Adaptive Distance Protection // Power Engineering Society (PES) Winter Meeting 2000 : Conference Proceedings / Chang, C.S. (ur.).
Singapur, 2000. (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 53171 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
The Self-Organizing Neural Network Applied to Adaptive Distance Protection
Autori
Skok, Srđan ; Marušić, Ante
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Power Engineering Society (PES) Winter Meeting 2000 : Conference Proceedings
/ Chang, C.S. - Singapur, 2000
Skup
Power Engineering Society Winter Meeting 2000
Mjesto i datum
Singapur, 23.01.2000. - 27.01.2000
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
system protection; adaptive distance protection; neural networks; Kohonen network
Sažetak
This paper elaborates settings and modification of the operating characteristic of adaptive distance relay which protects the transmission line between two terminals. Operating characteristic should have such shape to satisfy all conditions in power system. However it is known that there is no combination of characteristics which can satisfy all possible conditions. So the only solution is modification of the operating characteristic. Solution of this problem involves the self-organizing neural network so called Kohonen network. Here it was considered a two-terminal transmission line, confirm that fault resistance and location of faults can produce erroneous relay function and finally suggest ways to ensure the generation of the correct signal for relay operation. With the simple simulation it was presented advantages and the credibility of the developed model.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
