Adaptive neuro fuzzy inference system-based fault location technique in double circuit transmission line against simultaneous faults

• DOI: 10.1007/s41939-019-00066-x
• Publication Date: 2020-02-03T14:52:30Z
• Authors: A. Naresh Kumar; Ch. Sanjay; M. Chakravarthy
• Keywords: 0202 electrical engineering, electronic engineering, information engineering; 02 engineering and technology

The conventional distance protection technique malfunctions in case of a double circuit transmission line during simultaneous faulty conditions. To mitigate this problem, an adaptive neuro fuzzy inference system with different membership functions and discrete Fourier transform-based technique has been presented in this paper. A 400 kV, 50 Hz double circuit transmission line is simulated in PSCAD software, while the fault location technique is implemented in MATLAB software. The fundamental components of phase voltages and phase currents are fed as inputs to the proposed technique. The proposed technique is investigated under various fault inception angles and fault locations as well as all possible fault cases including shunt and series faults. Its effectiveness is checked through PSCAD simulations, and the results prove that it can be employed in the simultaneous fault locating of double circuit transmission line. The simulation study with mathematical validation promises the validation of the technique for all fault cases.