High-Speed Decision Tree Based Series-Compensated Transmission Lines Protection Using Differential Phase Angle of Superimposed Current

Taheri, Mir Mohammad; Seyedi, Heresh; Nojàvàn, Mortezà; Khoshbouy, Mortaza; Ivatloo, Behnam Mohammadi

doi:10.1109/tpwrd.2018.2861841

Cited by 44 publications

(7 citation statements)

References 26 publications

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“…The table clearly shows that the proposed approach's fault detection and classification accuracies are coming 100%. Similar accuracies are obtained earlier by Swetapadma et al (2017) and Mohammad Taheri et al (2018). However, the methods proposed by Swetapadma et al (2017) and Mohammad Taheri et al (2018) are tested only for FSC-compensated TLs.…”

Section: Comparative Assessmentsupporting

confidence: 72%

“…Similar accuracies are obtained earlier by Swetapadma et al (2017) and Mohammad Taheri et al (2018). However, the methods proposed by Swetapadma et al (2017) and Mohammad Taheri et al (2018) are tested only for FSC-compensated TLs. These protection schemes were not validated for large-scale DFIG wind farm integration.…”

Section: Comparative Assessmentsupporting

confidence: 72%

“…Furthermore, the discrete wavelet transforms (DWTs), k-nearest neighbor (k-NN)-based method used in the study by Swetapadma et al (2017), differential phase angle of superimposed current (DPASC), and DT-based method used in the study by Mohammad Taheri et al (2018) are computationally not efficient compared to the proposed FBSE-SVD and BE classifier. Also, the methods proposed by Swetapadma et al (2017) and Mohammad Taheri et al (2018) have not been tested in the presence of non-fault transients such as significant load switching, switching on/off of capacitor banks, and CT saturation during severe short circuit faults. The method in the study by Mohammad Taheri et al (2018) used the current differential principle.…”

Section: Comparative Assessmentmentioning

confidence: 99%

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Advanced Protection for the Smart Grid

Nabab Alam,

Khurshaid,

Yen Shih

et al. 2023

Frontiers Research Topics

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Frontiers is more than just an open access publisher of scholarly articles: it is a pioneering approach to the world of academia, radically improving the way scholarly research is managed. The grand vision of Frontiers is a world where all people have an equal opportunity to seek, share and generate knowledge. Frontiers provides immediate and permanent online open access to all its publications, but this alone is not enough to realize our grand goals. Frontiers journal seriesThe Frontiers journal series is a multi-tier and interdisciplinary set of openaccess, online journals, promising a paradigm shift from the current review, selection and dissemination processes in academic publishing. All Frontiers journals are driven by researchers for researchers; therefore, they constitute a service to the scholarly community. At the same time, the Frontiers journal series operates on a revolutionary invention, the tiered publishing system, initially addressing specific communities of scholars, and gradually climbing up to broader public understanding, thus serving the interests of the lay society, too. Dedication to qualityEach Frontiers article is a landmark of the highest quality, thanks to genuinely collaborative interactions between authors and review editors, who include some of the world's best academicians. Research must be certified by peers before entering a stream of knowledge that may eventually reach the public -and shape society; therefore, Frontiers only applies the most rigorous and unbiased reviews. Frontiers revolutionizes research publishing by freely delivering the most outstanding research, evaluated with no bias from both the academic and social point of view. By applying the most advanced information technologies, Frontiers is catapulting scholarly publishing into a new generation. What are Frontiers Research Topics?Frontiers Research Topics are very popular trademarks of the Frontiers journals series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area.

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Section: Comparative Assessmentsupporting

confidence: 72%

Section: Comparative Assessmentsupporting

confidence: 72%

Section: Comparative Assessmentmentioning

confidence: 99%

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Advanced Protection for the Smart Grid

Nabab Alam,

Khurshaid,

Yen Shih

et al. 2023

Frontiers Research Topics

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“…Some recently proposed pilot‐based relaying algorithms have been discussed next. The paper 11 introduces a fault location method for a series‐compensated line based on synchronized phasor measurement that uses voltages of terminals at pre‐fault and during‐fault intervals to detect a fault. In Reference 11, the authors have introduced a high‐speed intelligent scheme where the differential phase angle of superimposed current based on the decision tree is used.…”

Section: Introductionmentioning

confidence: 99%

Extracted DC component‐based pilot relaying for series‐compensated lines

Sharma

Vijetha

Bharti³

et al. 2021

Int Trans Electr Energ Syst

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Summary Integration of a series capacitor in a transmission line not only has advantages such as system stability and power factor improvements, voltage profile regulation, and power flow maximization but also shows some unwanted effects such as current and voltage inversion, change in line impedance, and subharmonic frequency that leads to mal‐operation of the conventional protection scheme. This paper introduces a fault detection method for a series‐compensated line. An algorithm is proposed that uses the extracted DC component of currents at both sending and receiving ends to detect the fault and generate a trip signal. The proposed protection criterion is successfully examined for diversified (adverse) conditions using PSCAD/EMTDC simulations.

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“…In addition, a power spectral density based fault detection technique, using wavelet transform of current signals is suggested by Guillen et al 20 but did not consider the high fault impedance scenarios. Mohammad et al 21 discussed a series‐compensated transmission line protection scheme by utilizing superimposition of different phase currents through discrete Fourier transform and decision tree‐based approaches. Moreover, incorporation of artificial neural network (ANN) with DWT may lead to the development of accurate fault detection and classification methodologies suitable for peculiar power systems.…”

Section: Introductionmentioning

confidence: 99%

Hilbert‐Huangtransform based fault identification and classification technique forACpower transmission line protection

Anand

Affijulla

2020

Int Trans Electr Energ Syst

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In the modern power system, the fault identification and classification is one of the challenging tasks during high fault impedance due to low change in the magnitude of fault current from steady-state to fault inception. In this paper, a high impedance fault detection technique is proposed based on Hilbert-Huang transform (HHT). The energy for each phase is computed from the intrinsic mode function (IMF) of three-phase voltage/current signals. An average relay energy index (AREI) is proposed to detect the transmission line fault in the large interconnected power system. Furthermore, a fault classification technique is also proposed based on relay energy index (REI) of each phase of the three-phase voltage/current signals. The proposed HHT based fault detection technique is validated on standard WSCC 9 bus and IEEE 14 bus test power systems using PSCAD and MATLAB software. The simulation results reveal that the proposed Hilbert-Huang transform based fault identification and classification technique can be best suitable for protection of transmission lines during high impedance faults in complex and large AC power transmission system.

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High-Speed Decision Tree Based Series-Compensated Transmission Lines Protection Using Differential Phase Angle of Superimposed Current

Cited by 44 publications

References 26 publications

Advanced Protection for the Smart Grid

Advanced Protection for the Smart Grid

Extracted DC component‐based pilot relaying for series‐compensated lines

Hilbert‐Huangtransform based fault identification and classification technique forACpower transmission line protection

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