Location of Faults in Power Transmission Lines Using the ARIMA Method

Danilo Pinto Moreira de Souza, Eliane Da Silva Christo and Aryfrance Rocha Almeida
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Danilo Pinto Moreira de Souza: Computational Modeling in Science and Technology (MCCT), Fluminense Federal University (UFF), Volta Redonda 21941-916, Brazil
Eliane Da Silva Christo: Computational Modeling in Science and Technology (MCCT), Fluminense Federal University (UFF), Volta Redonda 21941-916, Brazil
Aryfrance Rocha Almeida: Technology Center, Federal University of Piauí (UFPI), Teresina 60455-760, Brazil

Energies, 2017, vol. 10, issue 10, 1-12

Abstract: One of the major problems in transmission lines is the occurrence of failures that affect the quality of the electric power supplied, as the exact localization of the fault must be known for correction. In order to streamline the work of maintenance teams and standardize services, this paper proposes a method of locating faults in power transmission lines by analyzing the voltage oscillographic signals extracted at the line monitoring terminals. The developed method relates time series models obtained specifically for each failure pattern. The parameters of the autoregressive integrated moving average ( ARIMA ) model are estimated in order to adjust the voltage curves and calculate the distance from the initial fault localization to the terminals. Simulations of the failures are performed through the ATPDraw ® (5.5) software and the analyses were completed using the RStudio ® (1.0.143) software. The results obtained with respect to the failures, which did not involve earth return, were satisfactory when compared with widely used techniques in the literature, particularly when the fault distance became larger in relation to the beginning of the transmission line.

Keywords: transmission line; fault localization; time series; ARIMA; discrete wavelet transformer (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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