文章基本信息

标题：Protection of Transmission Lines Using Artificial Neural Network
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作者：Isha Awasthi ; Aziz Ahmed
期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2012
卷号：2
期号：7
出版社：S.S. Mishra
摘要：High voltage transmission lines are used to transmit electrical energy from source to substations. If any fault and disturbance are generated in the transmission lines and not detected, located and eliminated quickly, it may cause instability in the system. To find the exact location of fault occurring in transmission lines may be calculated by some conventional methods. This paper presents the new approach to fault detection and clarification in power transmission system by using ANN (Artificial Neural Network). The network is trained with Rosenblatt's algorithm. The results have been calculated by MATLAB. Several graphs have been shown in this paper. From the co nventional methods, only one fault may be detected between two substations, but in this paper there are several nodes and the distance between each node has been calculated. The fault is generated in between these nodes
关键词：ANN (Artificial neural network); Rosenblatt's algorithm; High voltage transmission lines; Fault; MATLAB