International Journal of Computational Intelligence Systems

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Volume 11, Issue 1, 2018, Pages 757 - 769

Fuzzy Inference System Based Distance Estimation Approach for Multi Location and Transforming Phase to Ground Faults in Six Phase Transmission Line

Authors
A Naresh Kumar1, ankamnaresh29@gmail.com, M Chakravarthy2, chakri4330@gmail.com
1Department of Electrical andt Electronics Engineering, GITAM University, Hyderabad, Telangana, India
2Department of Electrical and Electronics Engineering, Vasavi College of Engineering, Hyderabad, Telangana, India
Received 31 October 2017, Accepted 1 March 2018, Available Online 16 March 2018.
DOI
10.2991/ijcis.11.1.58How to use a DOI?
Keywords
Fault location; Fuzzy inference system; Six phase transmission line
Abstract

The faults occurring in different phases at multiple locations and different times are difficult to locate exact location using conventional techniques. This paper develops a fault location estimation approach using fuzzy inference system for multi location phase to ground faults and transforming phase to ground faults in six phase transmission (SPT) line. The six phase current data of SPT line are generated by MATLAB software and processed through butter worth filter, sampling and discrete fourier transform for distance locator. The proposed technique is dependent on single terminal data only. Mamdani fuzzy inference system is employed to make decision. Triangular membership functions are used to design input-output fuzzy sets. Fuzzy inference system has been deployed for the fault distance location using IF-THEN rules. The proposed technique is validated during different multi location and transforming phase to ground faults with wide variations in fault resistance and fault inception angle. Simulations and calculations with MATLAB prove that the fault location method is correct and accurate.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
11 - 1
Pages
757 - 769
Publication Date
2018/03/16
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.11.1.58How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

Cite this article

risenwbib
TY  - JOUR
AU  - A Naresh Kumar
AU  - M Chakravarthy
PY  - 2018
DA  - 2018/03/16
TI  - Fuzzy Inference System Based Distance Estimation Approach for Multi Location and Transforming Phase to Ground Faults in Six Phase Transmission Line
JO  - International Journal of Computational Intelligence Systems
SP  - 757
EP  - 769
VL  - 11
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.11.1.58
DO  - 10.2991/ijcis.11.1.58
ID  - Kumar2018
ER  -