Location of Faults in Power Transmission Lines Using the ARIMA Method

Souza, Danilo Pinto Moreira de; Christo, Eliane da Silva; Almeida, Aryfrance Rocha

doi:10.3390/en10101596

Cited by 18 publications

(7 citation statements)

References 11 publications

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“…The fault is then identified using the transient-state analysis. Some studies [3,4] suggest creating a database of various fault scenarios to make the transient analysis easier.…”

Section: Travelling Wave-and Artificial Intelligence-based Methodsmentioning

confidence: 99%

Two-Terminal Algorithm Analysis for Unsymmetrical Fault Location on 110 kV Lines

et al. 2019

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This work analyses a two-terminal algorithm designed to locate unsymmetrical faults on 110 kV power transmission lines. The algorithm processes synchronized voltage and current data obtained from both ends of the protected transmission line and calculates the distance of the fault. It is based on decomposing the equivalent circuit into the positive-, negative- and zero-sequence components and finding the point where the output voltages of the right and the left side of the transmission line are equal. Compared to the conventional distance relay locator, the accuracy of this method is higher and less influenced by the fault resistance, the parallel-operated line effect and line asymmetry, as discussed in this work. It is, however, very sensitive to the synchronization accuracy. The mathematical model of the power system was created in the PSCAD (Power Systems Computer Aided Design) environment and the computational algorithm was implemented in Mathematica software.

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“…The fault is then identified using the transient-state analysis. Some studies [3,4] suggest creating a database of various fault scenarios to make the transient analysis easier.…”

Section: Travelling Wave-and Artificial Intelligence-based Methodsmentioning

confidence: 99%

Two-Terminal Algorithm Analysis for Unsymmetrical Fault Location on 110 kV Lines

et al. 2019

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“…This paper provides a summary of the Energies Special Issue covering the published articles [1][2][3][4][5][6][7][8][9][10][11][12][13], which address several topics related to distributed energy resources management. Table 1 identifies the most relevant topics in each publication; most of them cover three or more topics.…”

Section: Contributionsmentioning

confidence: 99%

“…Looking more specifically at combined heat and power (CHP) generation, the microgrid operation costs were minimized in [6] by using the Lyapunov approach. Fault location detection is addressed in [11].…”

Section: Contributionsmentioning

confidence: 99%

Distributed Energy Resources Management

Faria¹

2019

Energies

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“…Once the experimental result was revealed, the developed model was shown to outperform the other models. Souza, Christo and Almeida [24] proposed a method using the ARIMA model to locate the faults in power transmission lines. In the study, they analyzed the voltage oscillographic signals.…”

Section: Literature Reviewmentioning

confidence: 99%

Forecasting Energy-Related Carbon Dioxide Emissions in Thailand’s Construction Sector by Enriching the LS-ARIMAXi-ECM Model

Sutthichaimethee

Kubaha

2018

Sustainability

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The Thailand Development Policy focuses on the simultaneous growth of the economy, society, and environment. Long-term goals have been set to improve economic and social well-being. At the same time, these aim to reduce the emission of CO 2 in the future, especially in the construction sector, which is deemed important in terms of national development and is a high generator of greenhouse gas. In order to achieve national sustainable development, policy formulation and planning is becoming necessary and requires a tool to undertake such a formulation. The tool is none other than the forecasting of CO 2 emissions in long-term energy consumption to produce a complete and accurate formulation. This research aims to study and forecast energy-related carbon dioxide emissions in Thailand's construction sector by applying a model incorporating the longand short-term auto-regressive (AR), integrated (I), moving average (MA) with exogenous variables (Xi) and the error correction mechanism (LS-ARIMAXi-ECM) model. This model is established and attempts to fill the gaps left by the old models. In fact, the model is constructed based on factors that are causal and influential for changes in CO 2 emissions. Both independent variables and dependent variables must be stationary at the same level. In addition, the LS-ARIMAXi-ECM model deploys a co-integration analysis and error correction mechanism (ECM) in its modeling. The study's findings reveal that the LS-ARIMAXi (2, 1, 1, X t−1 )-ECM model is a forecasting model with an appropriate time period (t − i), as justified by the Q-test statistic and is not a spurious model. Therefore, it is used to forecast CO 2 emissions for the next 20 years (2019 to 2038). From the study, the results show that CO 2 emissions in the construction sector will increase by 37.88% or 61.09 Mt CO 2 Eq. in 2038. Also, the LS-ARIMAXi (2, 1, 1, X t−1 )-ECM model has been evaluated regarding its performance, and it produces a mean absolute percentage error (MAPE) of 1.01% and root mean square error (RMSE) of 0.93% as compared to the old models. Overall, the results indicate that determining future national sustainable development policies requires an appropriate forecasting model, which is built upon causal and contextual factors according to relevant sectors, to serve as an important tool for future sustainable planning.

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Location of Faults in Power Transmission Lines Using the ARIMA Method

Cited by 18 publications

References 11 publications

Two-Terminal Algorithm Analysis for Unsymmetrical Fault Location on 110 kV Lines

Two-Terminal Algorithm Analysis for Unsymmetrical Fault Location on 110 kV Lines

Distributed Energy Resources Management

Forecasting Energy-Related Carbon Dioxide Emissions in Thailand’s Construction Sector by Enriching the LS-ARIMAXi-ECM Model

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