Adaptive Single-Pole Autoreclosure Scheme Based on Wavelet Transform and Multilayer Perceptron

Frimpong, Emmanuel Asuming; Okyere, Philip Yaw; Anto, E. K.

doi:10.4314/just.v30i1.53943

Cited by 7 publications

(3 citation statements)

References 23 publications

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“…A scheme proposed in [83] could extract the features of the voltage phase using DFT and fed them into an ANN to classify faults as transient or permanent; moreover, it reclosed the circuit breakers for transient faults. An adaptive auto-reclosing scheme using a neural network multilayer perceptron trained with a Levenberg-Marquardt backpropagation scheme was presented in [84]. The Daubechies db4 mother wavelet energy coefficient of the faulted voltage was used to differentiate the transient and permanent faults and predict the extinguishing time for the secondary arc.…”

Section: ) Artificial-neural-network-based Schemesmentioning

confidence: 99%

A Comprehensive Review of Auto-Reclosing Schemes in AC, DC, and Hybrid (AC/DC) Transmission Lines

et al. 2021

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The integration of distributed generators has changed the paradigm of modern power transmission systems. To cope with energy demands, electrical networks emphasize the efficient utilization of power transmission. Thus, high-voltage DC (HVDC) and hybrid (AC/DC) transmission systems are also getting attention owing to their high efficiency in addition to the widely adopted high-voltage AC (HVAC) systems. Most faults in the bulk of transmission lines are temporary or intermittent. Auto-reclosing schemes can be used to prevent these faults. However, conventional auto-reclosing schemes based on constant dead time cannot recognize the fault nature within the assigned duration. Consequently, the accuracy of power grids can be compromised. Therefore, adaptive auto-reclosing schemes are convenient for overcoming the issues caused by the rapid restoration of faulty power lines. This can enhance system reliability and avoid power failures and blackouts. This study is based on a systematic, detailed, and thorough research review of the existing auto-reclosing schemes in all three power transmission lines, i.e., AC, DC, and hybrid (AC/DC). Subsequently, a critical analysis has been performed to assess the pros and cons of each existing adaptive auto-reclosing scheme. Finally, future recommendations are presented to improve adaptive auto-reclosing schemes in each medium.

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Section: ) Artificial-neural-network-based Schemesmentioning

confidence: 99%

A Comprehensive Review of Auto-Reclosing Schemes in AC, DC, and Hybrid (AC/DC) Transmission Lines

et al. 2021

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“…It is also possible to find the discrete wavelet transform (DWT) and the wavelet singularity considering several mother wavelets to classify the fault type [25][26][27][28][29][30][31][32][33][34]. Although those methods have acceptable behavior, their function and reliability are influenced by different conditions and parameters that must be chosen appropriately.…”

Section: Bibliographic Review About Arcing Faults On Tlsmentioning

confidence: 99%

A Novel Approach to Arcing Faults Characterization Using Multivariable Analysis and Support Vector Machine

et al. 2019

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Based on the Institute of Electrical and Electronics Engineers (IEEE) Standard C37.104-2012 Power Systems Relaying Committee report, topics related to auto-reclosing in transmission lines have been considered as an imperative benefit for electric power systems. An important issue in reclosing, when performed correctly, is identifying the fault type, i.e., permanent or temporary, which keeps the faulted transmission line in service as long as possible. In this paper, a multivariable analysis was used to classify signals as permanent and temporary faults. Thus, by using a simple convolution process among the mother functions called eigenvectors and the fault signals from a single end, a dimensionality reduction was determined. In this manner, the feature classifier based on the support vector machine was used for acceptably classifying fault types. The algorithm was tested in different fault scenarios that considered several distances along the transmission line and representation of first and second arcs simulated in the alternative transients program ATP software. Therefore, the main contribution of the analysis performed in this paper is to propose a novel algorithm to discriminate permanent and temporary faults based on the behavior of the faulted phase voltage after single-phase opening of the circuit breakers. Several simulations let the authors conclude that the proposed algorithm is effective and reliable.

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“…At the same time, the wide variety of faults makes it difficult to formulate the reclosing logic [7][8][9]. And, according to the statistics, 80% of high-voltage overhead transmission line faults consist of transient faults [10][11][12][13][14][15][16][17][18][19][20][21][22]. Therefore, most of the actual project involves using automatic reclosing to improve the reliability of the power supply.…”

Section: Introductionmentioning

confidence: 99%

An Adaptive Reclosing Scheme for Cross-Line Faults on Double-Circuit Wind Power Outgoing Lines with Shunt Reactors

Hu,

Xie,

Yin

2024

Energies

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Wind turbines are vulnerable to negative sequence current injection, the conventional automatic reclosing scheme for wind power outgoing lines, since we may inject negative sequence components into the system and reclose it without distinguishing the nature of the fault through rectification. Moreover, reclosing in permanent faults could induce a secondary impact on the system. To solve the above problems, an adaptive reclosing scheme for cross-line faults on double-circuit wind power outgoing lines with shunt reactors is proposed. Firstly, a new tripping strategy and a single-side partial-phase reclosing method are proposed for multiple types of outgoing line faults, while, simultaneously, phase-to-phase coupling loops are established. Secondly, the criteria of fault nature are established based on the fault phase shunt reactor current and fault phase voltage characteristics, and transient faults are rapidly and accurately distinguished from permanent ones according to the criteria. Finally, the theoretical derivation and simulation experiments are conducted on the PSCAD/EMTDC platform to demonstrate that the proposed adaptive reclosing method is applicable to avoid the injection of negative sequence currents into wind turbines. Meanwhile, the success rate of reclosing for wind power outgoing line is significantly improved and the continuity of power transmission on the wind farm(s) is ensured.

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Adaptive Single-Pole Autoreclosure Scheme Based on Wavelet Transform and Multilayer Perceptron

Cited by 7 publications

References 23 publications

A Comprehensive Review of Auto-Reclosing Schemes in AC, DC, and Hybrid (AC/DC) Transmission Lines

A Comprehensive Review of Auto-Reclosing Schemes in AC, DC, and Hybrid (AC/DC) Transmission Lines

A Novel Approach to Arcing Faults Characterization Using Multivariable Analysis and Support Vector Machine

An Adaptive Reclosing Scheme for Cross-Line Faults on Double-Circuit Wind Power Outgoing Lines with Shunt Reactors

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