Detection of Faults on Nigeria 330kv Power Transmission Lines Using Artificial Intelligence (AI)

• Author(s): Atuchukwu J. A ; Ochogwu S. O. ; Okonkwo I. I. ; Ogboh V. C.
• Paper ID: 1704056
• Page: 390-404
• Published Date: 31-01-2023
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 6 Issue 7 January-2023

Abstract

The occurrence of faults on Power Transmission Lines is inevitable. Various methods have been applied by researchers to detect these faults. Among the methods used for detecting faults on the transmission lines, Artificial Neural Network (ANN) been one of the recent artificial intelligence methods for fault detection has been employed in this research for the detection of fault on 330kV Power Transmission Line. Simulations were performed using MATLAB/Simulink R2018a on ANN fault detector with the pre-fault and fault signals as inputs of the ANN fault detector in order to identify the various faults that occurred on the line. The results showed that, the best training performance for the detection of faults was achieved at Mean Square Error (MSE) of 1.6856e-5. and at Regression approximately equal to zero (9.8958e-1). The simulation result is satisfactory since it satisfied the standard training performance of any ANN fault diagnosis system.

Keywords

Power System, Transmission Line, Matlab/Simulink, Three Phase, Faults

Citations

IRE Journals:
Atuchukwu J. A , Ochogwu S. O. , Okonkwo I. I. , Ogboh V. C. "Detection of Faults on Nigeria 330kv Power Transmission Lines Using Artificial Intelligence (AI)" Iconic Research And Engineering Journals Volume 6 Issue 7 2023 Page 390-404

IEEE:
Atuchukwu J. A , Ochogwu S. O. , Okonkwo I. I. , Ogboh V. C. "Detection of Faults on Nigeria 330kv Power Transmission Lines Using Artificial Intelligence (AI)" Iconic Research And Engineering Journals, 6(7)