Phasor-Based Single-Phase Auto-Reclosing Scheme for Non-Compensated Transmission Lines

Dantas, Karcius Marcelus Colaço; Lopes, Felipe V.; Silva, Kleber M.; Ribeiro, Nilo

doi:10.1109/tpwrd.2021.3055853

Cited by 16 publications

(2 citation statements)

References 50 publications

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“…ML relaying schemes that can reliably identify faults occurring in the overhead section [7]- [10] enable the application of Single-Pole Autoreclosure (SPAR) to such faults, improving system stability and continuity of service. Given the correct fault selection, the success of SPAR ultimately requires the definitive self-extinction of the secondary arc during the autoreclosure dead time [11], [12]. Power frequency studies of the arc current and of the subsequent recovery voltage [13], [14] evidence the role of capacitive and inductive coupling.…”

Section: Introductionmentioning

confidence: 99%

Single-Pole Autoreclosure in uncompensated EHV AC mixed overhead-cable lines: A parametric time-domain analysis

Gatta

Geri

Graziani

et al. 2022

Electric Power Systems Research

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Section: Introductionmentioning

confidence: 99%

Single-Pole Autoreclosure in uncompensated EHV AC mixed overhead-cable lines: A parametric time-domain analysis

Gatta

Geri

Graziani

et al. 2022

Electric Power Systems Research

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“…Further, the combination of voltage and angle derivatives is used to determine the quenching time of the secondary arc. The analysis of voltage phasors in the modal domain using the Clarke matrix is presented in [14]. That modal domain conversion of faulty terminal phasor is used in developing criteria which are eventually used to take reclosing decisions.…”

Section: Introductionmentioning

confidence: 99%

Pattern Recognition Based Auto-Reclosing Scheme Using Bi-Directional Long Short-Term Memory Network

2022

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Precise knowledge of secondary arc extinction instant and fault nature (temporary or permanent) is necessary for auto-reclosing after a single line-to-ground fault. Existing intelligent reclosing schemes rely on the extraction of appropriate features using a signal processing module (SPM) during online data monitoring. The value of features varied greatly under different operating scenarios as well as the computational burden is greatly enhanced owing to SPM which significantly impacts the performance of the auto-reclosing scheme. Hence, in this study bi-directional long short-term memory (Bi-LSTM) network is designed which integrates feature extraction and classification process. Thus, the proposed scheme is directly incorporated into the incoming voltage data without using any SPM/ filtering technique. The open-source test system provided by the developers of Hydro-Quebec, Canada is used for training and testing. Around 4860 different signals are collected by varying power system parameters and secondary arc conditions to develop dataset A. The Bi-LSTM model is tested under no noise, low noise of SNR 30, and high noise of SNR 10. To ensure the efficacy of the proposed scheme, uni-directional long short-term memory (U-LSTM), gated recurrent unit (GRU), and machine learning models are also trained on the same dataset. Later, for validation, a second dataset B is developed by varying surge impedance loading, frequency-dependent transmission lines, and arc resistance. Then the efficiency of pre-trained artificial neural networks (ANNs) is validated on this unseen dataset. The testing and validation on both datasets confirm superior efficiency of Bi-LSTM in comparison to U-LSTM, GRU, and other models.INDEX TERMS Artificial neural network (ANN) based reclosing, bi-directional long short-term memory (Bi-LSTM), patterns based reclosing, secondary arc, single-phase auto-reclosing.

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A novel phasor-based adaptive single-phase auto-reclosing scheme for transmission lines with shunt reactors

Liu,

Dou,

Xie

et al. 2024

Electr Eng

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Phasor-Based Single-Phase Auto-Reclosing Scheme for Non-Compensated Transmission Lines

Cited by 16 publications

References 50 publications

Single-Pole Autoreclosure in uncompensated EHV AC mixed overhead-cable lines: A parametric time-domain analysis

Single-Pole Autoreclosure in uncompensated EHV AC mixed overhead-cable lines: A parametric time-domain analysis

Pattern Recognition Based Auto-Reclosing Scheme Using Bi-Directional Long Short-Term Memory Network

A novel phasor-based adaptive single-phase auto-reclosing scheme for transmission lines with shunt reactors

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