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Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/384

Title: Distance Protection of Compensated Transmission Line Using Computational Intelligence
Authors: Samantaray, S R
Dash, P K
Panda, G
Panigrahi, B K
Issue Date: 2005
Publisher: Springer
Citation: Lecture Notes in Computer Science, Vol 3801, P 163-169
Abstract: A new approach for protection of transmission line including TCSC is presented in this paper. The proposed method includes application of Fuzzy Neural Network for distance relaying of a transmission line operating with a thyristor controlled series capacitor (TCSC) protected by MOVs. Here the fuzzy neural network (FNN) is used for calculating fault location on the TCSC line. The FNN structure is seen as a neural network for training and the fuzzy viewpoint is utilized to gain insight into the system and to simplify the model. The number of rules is determined by the data itself and therefore, a smaller number of rules are produced. The network parameters are updated by Extended Kalman Filter (EKF) algorithm. with a pruning strategy to eliminate the redundant rules and fuzzification neurons resulting in a compact network structure . The input to the FNN are fundamental currents and voltages at the relay end, sequence components of current, system frequency and the firing angle with diff...
Description: Copyright for this article belongs to Springer DOI 10.1007/11596448
URI: http://hdl.handle.net/2080/384
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