An Intelligent Method for Fault Location in AC Cables Using Extreme Learning Machine

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REZAEE MOHAMMAD; ABDOOS ALI AKBAR; Farzinfar Mehdi

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Journal Paper

Paper Information

Journal: COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING) Year:2022 | Volume:13 | Issue:2 Page(s): 65-82

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Information Journal Paper

Title

An Intelligent Method for Fault Location in AC Cables Using Extreme Learning Machine

Author(s)

REZAEE MOHAMMAD | ABDOOS ALI AKBAR | Farzinfar Mehdi | Issue Writer Certificate

Keywords

High Voltage AC Cable Protection

Fault Location

Extreme Learning Machine

Abstract

In high voltage cables, due to the mutual induction between the core and the sheath as well as the high capacitance of the cable, the Fault Location in alternative current (AC) cable is more complicated than the head transmission line. By using distance protection scheme for AC transmission line, the seen impedance by the relay has a nonlinear behavior with respect to Fault Location. In this paper, with the help of Extreme Learning Machine (ELM), the fault locating algorithm is implemented by using the measured values of voltage and current of core and sheath on both sides of the cable. The proposed algorithm can detect the non-linear and complicated relations between measured quantities and Fault Location. In the system under study, at first, the core to sheath faults are simulated in the PSCAD/EMTDC software considering different fault resistances and different fault distances. Then, in order to train the intelligent core of the proposed method, input vectors are extracted for different conditions and a desirable output is considered corresponding to the fault distance. Examination of the results obtained from the use of various intelligent tools shows the superiority of the ELM over the ANN and SVM in terms of accuracy of and learning speed.

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APA: Copy

REZAEE, MOHAMMAD, ABDOOS, ALI AKBAR, & Farzinfar, Mehdi. (2022). An Intelligent Method for Fault Location in AC Cables Using Extreme Learning Machine. COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING), 13(2 ), 65-82. SID. https://sid.ir/paper/960938/en

Vancouver: Copy

REZAEE MOHAMMAD, ABDOOS ALI AKBAR, Farzinfar Mehdi. An Intelligent Method for Fault Location in AC Cables Using Extreme Learning Machine. COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING)[Internet]. 2022;13(2 ):65-82. Available from: https://sid.ir/paper/960938/en

IEEE: Copy

MOHAMMAD REZAEE, ALI AKBAR ABDOOS, and Mehdi Farzinfar, “An Intelligent Method for Fault Location in AC Cables Using Extreme Learning Machine,” COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING), vol. 13, no. 2 , pp. 65–82, 2022, [Online]. Available: https://sid.ir/paper/960938/en

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