Identification and classification of faults using fuzzy logic controller in transmission line

Dhaked, Dheeraj Kumar; Raman, Lokesh Kumar; Birla, Dinesh; Dwivedi, Maheep

doi:10.47974/JIM-1672

Open Access Research Article

Identification and classification of faults using fuzzy logic controller in transmission line

^*Dheeraj Kumar DhakedCorresponding authorddhakar9@gmail.comDepartment of Electrical EngineeringRajasthan Technical UniversityKota, Rajasthan, 324010, IndiaView full profile → , Lokesh Kumar Ramanlokeshraman68@gmail.comDepartment of Electrical EngineeringRajasthan Technical UniversityKota, Rajasthan, 324010, IndiaView full profile → , Dinesh Birladbirla@rtu.ac.inDepartment of Electrical EngineeringRajasthan Technical UniversityKota, Rajasthan, 324010, IndiaView full profile → , Maheep Dwivedimaheep.dwivedi@stud.th-deg.deDeggendorf Institute of TechnologyDeggendorf, 94469, GermanyView full profile →

* Corresponding author · click or hover a name for details

pp. 417–430Vol. 26Issue 3April 2023DOI: 10.47974/JIM-1672XML

Published Online:: 01 Apr 2023
Article type:: Research Article
Language:: EN
Article no.:: JIM-1672
Pages:: 417–430

Abstract

This manuscript discusses the identification and categorization of faults in transmission network system with fuzzy logic controller (FLC) with high-speed digital protective relay, which can be used for real-time data analysis. The FLC uses signals for the extraction of original signals for multi-resolution analysis. The proposed FLC technique detects the fault occurrence based on fault index. The stoutness of technique is demonstrated on transmission line models under different fault situations on MATLAB Simulink platform for the post-fault current of all three phases the end of line. In the projected technique, different rules have been structured for phase and ground faults. Simulation has been carried out on various faults type to test the effectiveness of the method which is used for a power station of 400 kV voltages with a 300 km long line. The extensive simulation effort has been carried out to recognize and categorize the types of faults using projected methodology with higher efficiency. This method is appropriate for high-impedance faults carried out in high-voltage line. The result obtained from Simulation led to the conclusion that the presented work is quite robust for medium and long lines.

Keywords

Fault detection Fault classification Fuzzy logic controller Fuzzification-defuzzification Membership function

Subject Classifications

Primary 93A30Secondary 49K15

References

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