Fault Location in Transmission Lines based on LSTM Model

• L. A. Ensina Universidade Federal do Paraná / Universidade Tecnológica Federal do Paraná
• P. E. M. Karvat Universidade Federal do Paraná
• E. C. de Almeida Universidade Federal do Paraná
• L. E. S. de Oliveira Universidade Federal do Paraná

DOI: https://doi.org/10.5753/kdmile.2022.227805

Resumo

Transmission lines are fundamental components of the electric power system, demanding special attention from the protection system due to the vulnerability of these lines. This paper presents a method for fault location in transmission lines using data for a single terminal without requiring explicit feature engineering by a domain expert. The fault location task provides an approximate position of the point of the line where the failure occurred, serving as information to the operators to dispatch a maintenance staff to this location to reclose the transmission line with better reliability and safety. In our method, we extract two post-fault cycles of the three-phase current and voltage signals to serve as input to a model based on the LSTM algorithm. We defined the model's architecture with empirical experiments searching for the best structure to estimate the fault distance. For this purpose, we used a dataset with diversified failure events, also available to the scientific community. The results demonstrate the effectiveness of the proposed method with a mean error of 0.1309 km +- 0.4897 km, representing 0.0316% +- 0.1183% of the transmission line extension.

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