The Self-Organizing Neural Network Applied to Adaptive Distance Protection (CROSBI ID 476673)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Skok, Srđan ; Marušić, Ante
engleski
The Self-Organizing Neural Network Applied to Adaptive Distance Protection
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.
system protection; adaptive distance protection; neural networks; Kohonen network
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Podaci o prilogu
2000.
objavljeno
Podaci o matičnoj publikaciji
Power Engineering Society (PES) Winter Meeting 2000 : Conference Proceedings
Chang, C.S.
Singapur:
Podaci o skupu
Power Engineering Society Winter Meeting 2000
predavanje
23.01.2000-27.01.2000
Singapur