By Topic

Advanced distance protection scheme for long Transmission lines in Electric Power systems using multiple classified ANFIS networks

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Kamel, T.S. ; Electr. Power & Machines Dept., Cairo Univ., Cairo, Egypt ; Moustafa Hassan, M.A. ; El-Morshedy, A.

The advanced application of artificial intelligent approaches was introduced recently in protection of transmission line in Electric Power Systems (EPS). These approaches started with introducing Fuzzy Logic (FL) in the last decades of the last century. Furthermore, Artificial Neural Network (ANN) was introduced to tackle different problems in EPS. One of these important problems is the protection of transmission line with different lengthes. In this proposed research, the application of Adaptive Neuro-Fuzzy Inference System (ANFIS) for Distance Relay Protection for long Transmission line in Electrical Power Systems (EPS) will be introduced and discussed. The proposed approach focuses on fault detection, classification, and location in long Transmission lines. Furthermore, all these issues will be addressed in details. The ANFIS can be viewed as a fuzzy system, a neural network or fuzzy neural network. The objective of this paper is applying the ANFIS technique on protection of long Transmission lines. It aims; firstly, to detect the fault occurrence in very short time and isolate the faulty section of the long transmission lines. Secondly to classify the fault type and deduce which of the three phases are exposed to the fault. Finally, locating the fault will be achieved easily even the procedure here is completely different from short and medium transmission lines. The input data of the ANFIS detection units are firstly derived from the fundamental values of the voltage and current measurements (using digital signal processing via Fourier transform).

Published in:

Soft Computing, Computing with Words and Perceptions in System Analysis, Decision and Control, 2009. ICSCCW 2009. Fifth International Conference on

Date of Conference:

2-4 Sept. 2009