Title :
Fault phase selection and distance location based on ANN and S-transform for transmission line in triangle network
Author :
Shu, Hongchun ; Wu, Qianjin ; Wang, Xu ; Tian, Xincui
Author_Institution :
Fac. of Electr. Eng., Kunming Univ. of Sci. & Technol., Kunming, China
Abstract :
This paper presents artificial neutral network algorithm for fault type classification and fault distance location for all the types of faults for transmission line in triangle network. This technology uses only one end data and accurate fault distance location fault type identifying is achieved after half cycle from the inception of fault. The proposed Artificial Neutral Network (ANN) based fault distance locator and fault distance locator uses transient energy which are extracted by S-transform. An improved performance is obtained once the neutral network is trained suitably, thus performance correctly when faced with different system parameters and conditions i.e. varying fault type, fault location, fault resistance, fault inception angle.
Keywords :
fault location; neural nets; transmission lines; S-transform; artificial neutral network; fault distance location; fault phase selection; transmission line; triangle network; Artificial neural networks; Classification algorithms; Fault location; Manganese; Power transmission lines; Resistance; Artificial Neutral Network; S-transform; fault distance location; fault phase selection; transmission line in triangle network;
Conference_Titel :
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6513-2
DOI :
10.1109/CISP.2010.5648109