Faulted‐phase identification scheme for series‐compensated transmission lines during the power swing

Musa, Mohammed H. H.

doi:10.1049/enc2.12045

Cited by 3 publications

(2 citation statements)

References 24 publications

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“…The limitation of proposed method is that transmission line network without TCSC connection is considered. A modified interclass correlation coefficient which is a statistical measure in terms of signal variance is calculated in [27] by extracting current samples during fault and swing existence. The variation in this coefficient declares decision about fault or swing condition.…”

Section: Literature Reviewmentioning

confidence: 99%

A Novel Methodology for Fault Sensing in Presence of Power Swing for Transmission Line with Thyristor Controlled Series Compensator

Akolkar,

Jariwala

2023

AEF

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Digital distance relaying is implemented in extra high voltage (EHV) transmission network for speedy and reliable fault detection. But it should not activate in case of slow transients known as power swings. However, for occurrence of any type of fault during power swing, the relay should sense the faulty condition and send trip command to concerned circuit breaker. The detection of fault in a transmission line network with TCSC during the power swing condition has become further complex due to transients generated by series capacitor and the metal–oxide varistor (MOV) protecting it. This paper firstly presents effect of TCSC on distance relay operation for varied TCSC degree of compensation and firing angle values. Further, a discrete wavelet transform-based fast acting fault and swing classification algorithm is proposed which can sense all types of faults during slow as well as fast power swing in first decomposition level and within 0.001 sec. The proposed utilizes optimized threshold values both for swing and fault sensing by using Honey Bee Optimization Algorithm (HBOA). The proposed novel algorithm is coded in MATLAB software and the test system comprising of 400kV, 50Hz parallel transmission line network along with TCSC is built using MATLAB Simulink environment with sim power systems toolbox. It is tested for high/low resistance faults, symmetrical/asymmetrical faults and close-in/far end faults by changing TCSC compensation level and firing angle value. The simulation results prove the accuracy of proposed methodology for swing and fault classification.

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Section: Literature Reviewmentioning

confidence: 99%

A Novel Methodology for Fault Sensing in Presence of Power Swing for Transmission Line with Thyristor Controlled Series Compensator

Akolkar,

Jariwala

2023

AEF

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“…This study used the Davies-Bouldin index (DBI) and adjusted rand index (ARI) to evaluate the accuracy of the phase identification [30][31][32].…”

Section: The Phase Identification Evaluation Indexmentioning

confidence: 99%

Anomaly detection and clustering‐based identification method for consumer–transformer relationship and associated phase in low‐voltage distribution systems

Chu

Cui

Zhai

et al. 2022

Energy Conversion and Econom

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The identification accuracy of low‐voltage distribution consumer–transformer relationship and phase are crucial to three‐phase unbalanced regulation and error correction in consumer–transformer relationships. However, owing to the rapid increase in the number of consumers and the upgrade of the feed lines for low‐voltage distribution systems, the timely update of the consumer‐transformer relationship and phase information of consumers is challenging. This influences the accuracy of the basic information of the power grid. Thus, this study proposes a low‐voltage distribution network consumer–transformer relationship and phase identification method based on anomaly detection and the clustering algorithm. First, the improved fast dynamic time warping distance based on the filter search between voltage sequences is used to measure the similarity between voltage curves. Subsequently, an abnormal consumer detection method based on the local outlier factor is used to identify consumers with mismatched consumer‐transformer relationships by determining the local outlier factor scores of voltage curves. Furthermore, the phase information of normal consumers is identified through clustering by fast search and find of density peaks. Finally, the proposed method is validated using case studies of practical low‐voltage distribution systems in China. The proposed method can effectively improve phase identification accuracy and maintain high adaptability in various data environments.

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A new wave-based fault detection scheme during power swing

Pazoki

Chaitanya

Yadav

2023

Electric Power Systems Research

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Faulted‐phase identification scheme for series‐compensated transmission lines during the power swing

Cited by 3 publications

References 24 publications

A Novel Methodology for Fault Sensing in Presence of Power Swing for Transmission Line with Thyristor Controlled Series Compensator

A Novel Methodology for Fault Sensing in Presence of Power Swing for Transmission Line with Thyristor Controlled Series Compensator

Anomaly detection and clustering‐based identification method for consumer–transformer relationship and associated phase in low‐voltage distribution systems

A new wave-based fault detection scheme during power swing

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