A new technique for transformer protection based on transient detection

Bo, Zhiqian; Weller, G.; Lomas, T.

doi:10.1109/61.871346

Cited by 55 publications

(1 citation statement)

References 5 publications

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“…The traveling wave based protection possesses the fastest operation, but when the faults happen at a voltage inception angle close to the zero, they could not generate the significant traveling wave, and the traveling wave measurement is also affected by the bandwidth limitation of the transducers. The principles based on the fault generated high frequency transient components have been proposed in [4][5][6][7]. The direction comparison based on transient current signals is directly comparing the polarity of the transient current, which does not require the voltage signal to decide the direction.…”

Section: Introductionmentioning

confidence: 99%

Transient polarity comparison based protection for system with power electronic interfaced distributed generation units

Kong

Chen

Bo³

et al. 2007

2007 42nd International Universities Power Engineering Conference

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3) AREVA T&D automation and information system, Stafford, U.K ABSTRACTVarious distributed generation units (DGs) are connected to utility power grid. With the advances in power electronics technology, many electronics converter interfaces have been utilized in DGs. The power balance control strategies can be achieved by the flexible control modes of the power electronics converter. However, because of the dynamic response and adjustment ability of the electronics converter interface, the disturbance phenomena caused by the faults are not so distinct that the sensitivity and reliability of the relay may be decreased. This paper presents transient polarity comparison based protection for system with power electronics interfaced DGs. The relays are connected to the current transducers (CTs) at both ends of the protected line to extract the fault transient signals. The polarities of the fault transient signals at both ends of the protected line are compared to determine whether a fault is inside or outside the protected line. A typical distribution power system with power electronics interfaced DGs is simulated. Various tests with respect to various fault conditions are conducted. Results show that the presented technique can correctly distinguish between internal and external faults. The technique is simple in application and fast in operation.

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Section: Introductionmentioning

confidence: 99%

Transient polarity comparison based protection for system with power electronic interfaced distributed generation units

Kong

Chen

Bo³

et al. 2007

2007 42nd International Universities Power Engineering Conference

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A novel technique for internal fault detection of power transformers based on moving windows

Abniki

Sanaye‐Pasand

2013

Int. Trans. Electr. Energ. Syst.

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SUMMARY Power transformer differential relays may incorrectly operate due to inrush condition or transformer external faults lead to current transformer (CT) saturation. In this paper, a new technique is presented to distinguish internal fault current from magnetizing inrush current in power transformers. The proposed technique applies two moving windows which both of them estimate magnitude of transformer differential current using different methods. The first moving window method is based on full‐cycle Fourier algorithm (long window) which uses one cycle samples of the current and provides precise estimation. The second one is originated from least error square (LES) method that has five sample point input data (short window). LES method has fast response, but its estimation might not be quite accurate. The proposed technique (which is a combination of two mentioned methods) presents a new criterion for discrimination between internal fault currents and inrush currents using the differences between output values of these two estimators. Meanwhile, obtained results demonstrate precise operation of the proposed algorithm for different conditions such as CT saturation and over‐flux condition; therefore, it can be a multi‐objective technique for transformer protection. Also, a general scheme is presented in order to improve differential protection. In this paper, a real part of 400/230 kV Iranian national grid is simulated using PSCAD software for evaluating the performance of the proposed algorithm. Also, additional validation of the proposed technique is tested offline using data collected from a three‐phase, 5 kVA, 60 Hz, laboratory prototype transformer. Copyright © 2013 John Wiley & Sons, Ltd.

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A novel probabilistic neural network‐based algorithm for classifying internal fault in transformer windings

Jettanasen

Ngaopitakkul

2013

IEEJ Transactions Elec Engng

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The major function of protective devices in a power system is to detect the occurrence of faults and to isolate the faulty sections from the rest of the system. Much progress has been made in the development algorithms for detecting faults in power transformers, which depend on transients‐based techniques. This paper presents an algorithm based on a combination of discrete wavelet transforms and probabilistic neural networks (PNNs) for classifying internal faults in a two‐winding three‐phase transformer. Fault conditions of the transformer are simulated using alternative transients program/electromagnetic transients program (ATP/EMTP) in order to obtain current signals. The mother wavelet Daubechies4 is employed to decompose the high‐frequency components from these signals. All three phases of the differential current signals are used in the fault detection decision algorithm. The variations of first‐scale high‐frequency component that detects fault are used as an input for the training pattern. The training process for the neural network and fault diagnosis decision is implemented using toolboxes on MATLAB/Simulink. Various cases and fault types based on the Thailand electricity transmission and distribution systems are studied to verify the validity of the algorithm. Backpropagation neural network is also compared with the PNN in this paper. It is found that the proposed method gives satisfactory accuracy with less training time, and will be particularly useful in the development of a modern differential relay for a transformer protection scheme. © 2013 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

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A new technique for transformer protection based on transient detection

Cited by 55 publications

References 5 publications

Transient polarity comparison based protection for system with power electronic interfaced distributed generation units

Transient polarity comparison based protection for system with power electronic interfaced distributed generation units

A novel technique for internal fault detection of power transformers based on moving windows

A novel probabilistic neural network‐based algorithm for classifying internal fault in transformer windings

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