Location of Faults in Power Transmission Lines Using the ARIMA Method

Danilo Pinto Moreira De Souza,Aryfrance Rocha Almeida,Eliane Da Silva Christo

doi:10.3390/en10101596

Danilo Pinto Moreira De Souza, Aryfrance Rocha Almeida + Show 1 more

Open Access

https://doi.org/10.3390/en10101596

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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.

Highlights

The behavior of the electricity sector is directly related to economic factors such as Gross DomesticProduct (GDP)
In order to decouple the transient signal from the sinusoidal signal characteristic of the transmission line. These decoupled signals are used in autoregressive integrated moving average (ARIMA) models to establish mathematical relationships between fault distances and calculated coefficients
The RStudio R (1.0.143) software is used for the computational implementation of discrete wavelet transform (DWT) [25] and ARIMA models

Summary

Introduction

In this manner, the demand for electricity can be seen as a “thermometer” of the market. In the EPS , faults may occur in various components, among which TLs may be the most susceptible elements, especially considering their physical dimensions, functional complexity and the environment they are in, presenting greater difficulties in terms of maintenance and monitoring [1]. Keeping in mind the importance of having an electrical system where continuity, compliance, flexibility, and maintainability are observed and guaranteed, we have sought to improve and innovate with respect to techniques used in the protection and supervision equipment of the EPS, while providing for the expansion of the electric sector and maintenance of system operation quality [2]

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