Inversion method to reconstruct fault transient traveling wave on overhead transmission lines

Liang, Hanqing; Liu, Yadong; Sheng, Gehao; Jiang, Xiuchen

doi:10.1002/etep.2546

Cited by 4 publications

(4 citation statements)

References 22 publications

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“…In equation ( 1), the plane of the calibration board is assumed to be in the plane of the world coordinate Z = 0, where s is a scale factor; K is the intrinsic parameter matrix of the camera; and r 1 r 2 ½ and t are the rotation matrix and translation vector of the camera coordinate system, respectively, relative to the world coordinate system Equation (2) indicates that each homography matrix can provide two equations. The camera-intrinsic parameter matrix K contains five parameters.…”

Section: Camera Calibrationmentioning

confidence: 99%

“… 1 High-voltage overhead lines often cross complex terrain, such as mountains, rivers, and forests. 2 – 6 High-voltage transmission lines are also often subjected to bad weather, which causes great damage to power facilities and disables large areas of the power grid. 7 Because these adverse effects threaten the safe operation of the power system, methods for maintaining the security and reliability of power systems and for protecting the lives of power inspectors are urgently needed.…”

Section: Introductionmentioning

confidence: 99%

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Obstacle distance measurement based on binocular vision for high-voltage transmission lines using a cable inspection robot

Huang

Liu

et al. 2020

Science Progress

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Obstacle distance measurement is one of the key technologies for cable inspection robots on high-voltage transmission lines. This article develops a novel method based on binocular vision for extracting the feature points of images and reconstructing 3D scenes. The proposed method seamlessly incorporates camera calibration, dense stereo matching, and 3D reconstruction. We apply a novel calibration method to acquire intrinsic and extrinsic parameters and use an improved Semi-Global Matching (SGM) algorithm based on the least squares fitting interpolation to refine the basic disparity map. Based on the depth information of the optimized disparity map and the principle of binocular vision measurement, a model is established to estimate the distance of an obstacle from the cable inspection robot. Extensive experiments show that the proposed method achieves an estimation accuracy of less than 5% from 0.5 m to 5.0 m, offering extremely high distance estimation accuracy and robustness. The study improves the autonomy and intelligence of inspection robots used in the power industry.

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Section: Camera Calibrationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Obstacle distance measurement based on binocular vision for high-voltage transmission lines using a cable inspection robot

Huang

Liu

et al. 2020

Science Progress

View full text Add to dashboard Cite

show abstract

“…However, the above approach is discussed only for a radial system. Further, various authors have suggested, [13][14][15][16] travelling wave based fault detection and identification techniques using wavelets for transmission line protection. A DWT and entropy-based approach is suggested 17,18 to detect the lighting faults on the transmission line.…”

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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“…An algorithm based on some methods like 4 polarity comparison, a time synchronized pilot protection scheme and high-frequency unblocking is proposed in [3] for the protection of high-voltage transmission lines.A TW-based method is proposed in [4] for the protection of transmission lines with the presence of renewable energies. Wavelet transform (WT) is used in [5][6][7] for the extraction of TWs.…”

Section: Introductionmentioning

confidence: 99%

A new traveling-wave-based protection algorithm using intelligent systems

Hasheminejad

2020

Scientia Iranica

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A novel traveling-wave (TW)-based protection algorithm for power transmission lines using intelligent systems is proposed in this paper. The first part of the algorithm identifies internal faults from external ones and the other part is used for fault type classification and faulted phases selection. In order to extract TW signals, Teagerenergyoperator (TEO) is used. Then hidden Markov model (HMM) is utilized to identify internal faults from external faults according to the output of TEO. Fault type classification and faulted phases selection are other important tasks in protection algorithms. In this paper, a very accurate and robust classification algorithm based on fuzzy systems is presented. This algorithm uses different ratios of modal components of the faulted current signal as the input variable of fuzzy systems. The test system is simulated in PSCAD software and the algorithm is implemented in MATLAB. Testing the proposed algorithm with a large number of test signals in different fault conditions shows the robustness of both internal fault identification and fault type classification algorithms.

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Inversion method to reconstruct fault transient traveling wave on overhead transmission lines

Cited by 4 publications

References 22 publications

Obstacle distance measurement based on binocular vision for high-voltage transmission lines using a cable inspection robot

Obstacle distance measurement based on binocular vision for high-voltage transmission lines using a cable inspection robot

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

A new traveling-wave-based protection algorithm using intelligent systems

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