Improved fault analysis technique for protection of Thyristor controlled series compensated transmission line

Vyas, Bhargav; Maheshwari, R. P.; Das, Biswarup

doi:10.1016/j.ijepes.2013.09.015

Cited by 40 publications

(11 citation statements)

References 17 publications

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“…Wavelet is small waveforms existing for a short time duration with an average value of zero and mostly adopted in advanced signal processing of transient signal analysis. This resolves analysis signal of fault transient signals into translated and scaled components of the applied mother wavelet function, as applied in previous transient signal analysis studies [28], [29]. The time-frequency localization benefits for little signal disturbances on HVTL, along with the unique ability to extract analyzed signal signatures for various frequencies bands and retaining the time function information are one of WT's unique benefits in fault transient studies.…”

Section: Wavelet Transform (Wt)mentioning

confidence: 97%

Hybrid Signal Processing and Machine Learning Algorithm for Adaptive Fault Classification of Wind Farm Integrated Transmission Line Protection

Emmanue

Othman

Hizam

et al. 2019

IJIE

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Section: Wavelet Transform (Wt)mentioning

confidence: 97%

Hybrid Signal Processing and Machine Learning Algorithm for Adaptive Fault Classification of Wind Farm Integrated Transmission Line Protection

Emmanue

Othman

Hizam

et al. 2019

IJIE

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“…Time-frequency analysis based on discrete wavelet transform (DWT) of the measured three-phase current has been used for performing fault detection and classification in TCSC compensated line in [6]. The scheme in [7] discuss the fault analysis in TCSC compensated line with the help of discrete Wavelet Transform (DWT) and implementation of Chebyshev Neural Network (ChNN). A data-mining model for fault-zone identification is discussed in [8], Decision tree was used for fault zone identification and fault classification in [9].…”

Section: Introductionmentioning

confidence: 99%

High Impedance Fault Identification in TCSC-Compensated Power Transmission Lines

Musa¹

2021

FJES

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The conventional distance relaying scheme performs poorly under the presence of Thyristors-controlled series capacitors “TCSC”, and during the high impedance fault “HIF”. TCSC provide a variable impedance during an internal/external fault and HIF is undetectable by the conventional overcurrent relaying due to low-current amplitude with non-linear behavior. Therefore, this paper presents a new Method for identifying the high impedance fault in TCSC-compensated transmission line. It is use the square error ration of the current signals during the fault period and current signals during the safe operating period for extracting the fault. The cumulative sum is being used for enlarging the fault features and then output index is obtained in order to perform the high impedance fault. The proposed method has been tested under different fault circumstances such as multiple fault locations, and multiple fault inception time. Moreover, fault happened nearby the terminal, power flow change, and faults in the presence of noise are also being considered. The test results have shown that the proposed method is good in term of time response, and then it is more appropriate for high impedance fault in TCSC-compensated power line.

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“…Another fault location method is to use artificial intelligence and pattern recognition. In this method, first a signal processing transform is used for feature extraction, then this feature is given to a classifier as input for data analysis . These methods can be employed when there is no direct relationship between data and intent values; in addition, methods based on pattern recognition and artificial intelligence require an expert knowledge of the neural network and efficient tools for feature extraction.…”

Section: Introductionmentioning

confidence: 99%

A novel fault location method for compensated transmission line including UPFC using one‐ended voltage and FDOST transform

Khoramabadi

Keshavarz

Dashti

2020

Int Trans Electr Energ Syst

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Summary Unified power flow controller (UPFC) flexible alternating current transmission system devices affect voltage and current signals at beginning of the feeder when a fault occurs. This indicates importance of fault location in compensated transmission lines. In the proposed method, only voltage signal of one terminal is employed. When a fault occurs, three‐fourth cycle of the voltage signal is received at one side and then the signal is divided into four separate partitions. Then, fast discrete orthonormal stockwell transform is applied to each partition to extract a feature vector. Using 10 first principle component analysis values of the feature vectors and Gaussian process regression, fault location is estimated. The proposed method is evaluated on a 500 kV transmission line of 300 km length with UPFC at different positions of the transmission line. Different conditions including fault inception angle, numerical references of UPFC and its operating modes, load existence, sampling frequency, and presence of noise are investigated. Numerical results under different conditions indicate high accuracy and efficiency of the proposed method.

show abstract

Improved fault analysis technique for protection of Thyristor controlled series compensated transmission line

Cited by 40 publications

References 17 publications

Hybrid Signal Processing and Machine Learning Algorithm for Adaptive Fault Classification of Wind Farm Integrated Transmission Line Protection

Hybrid Signal Processing and Machine Learning Algorithm for Adaptive Fault Classification of Wind Farm Integrated Transmission Line Protection

High Impedance Fault Identification in TCSC-Compensated Power Transmission Lines

A novel fault location method for compensated transmission line including UPFC using one‐ended voltage and FDOST transform

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