Current Transformer Saturation Detection Using Morphological Gradient and Morphological Decomposition and Its Hardware Implementation

Ji, Tianyao; Shi, Miao; Li, Mengshi; Zhang, Luliang

doi:10.1109/tie.2017.2674578

Cited by 14 publications

(5 citation statements)

References 12 publications

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“…MM theory has been used in image processing applications for long; however, its application to power system has been reported only recently . MM filters are nonlinear signal processing tools used for the analysis and modification of geometrical shapes of a signal.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

“…MM theory has been used in image processing applications for long; however, its application to power system has been reported only recently. 32,33 MM filters are nonlinear signal processing tools used for the analysis and modification of geometrical shapes of a signal. Basically, an MM filter probes a given signal with the help of a combination of a predefined reference function known as structuring element (SE) and some basic simple mathematical operations.…”

Section: Mathematical Morphologymentioning

confidence: 99%

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Microgrid protection using iterative filtering

Gadanayak

Mallick

2019

Int Trans Electr Energ Syst

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Summary This paper proposes an intelligent, nonpilot protection strategy for inverter‐dominated microgrids using iterative filtering‐based empirical mode decomposition (IFEMD) and extreme learning machine. The instantaneous frequency envelope (IFE) and the instantaneous Teager energy envelope (ITEE) of the most informative intrinsic mode function (MIIMF) obtained through processing the local current signal by IFEMD is used for fault detection and fault phase identification. But the disadvantage of IFEMD, like any other variant of empirical mode decomposition (EMD), is that for useful decomposition, it requires at least three cycles of data samples. For the above reason, a mathematical morphology‐based dynamic event detection scheme is devised to pinpoint the fault inception instants which allows extraction of half‐cycle postfault current IFE and ITEE. A fewer number of inputs to the classifier make the classification task faster and less computationally complex. The proposed scheme is extensively validated for both arcing and nonarcing faults with wide variations in operating parameters for different topologies and modes of operations of a standard microgrid model.

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Section: Theoretical Backgroundmentioning

confidence: 99%

Section: Mathematical Morphologymentioning

confidence: 99%

Microgrid protection using iterative filtering

Gadanayak

Mallick

2019

Int Trans Electr Energ Syst

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“…iii. Group 3 (signal processing based methods [13][14][15][16][17][18][19][20][21]): This group attempts to mathematically extract some parameters and features from unsaturated interval of the fault current.…”

Section: Introductionmentioning

confidence: 99%

“…According to Table 2, it should be mentioned that except [9,13,14], all methods have the ability to reconstruct current waveform. Also, only [15][16][17] consider dynamic behaviour of the CT in order to reproduce current waveform.…”

Section: Introductionmentioning

confidence: 99%

Framework for current transformer saturation detection and waveform reconstruction

Tajdinian

Bagheri

Allahbakhshi

et al. 2018

IET Generation, Transmission & Distribution

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“…As the capacity and the voltage level of a power system increase, the magnitudes of currents during fault incidents, which usually contain a significant dc component, might reach tens of or even hundreds of times those of CT‐rated currents. This leads to CT saturation, which in practice is a main cause for the maloperations of overcurrent and differential protections . CT saturation can also result from the premagnetization of its iron core, especially when the polarity of the remanence is identical to that of the magnetic flux generated by the initial fault current.…”

Section: Introductionmentioning

confidence: 99%

Design and simulation of a new model for air‐gapped current transformers

Dong

Mirsaeidi

2018

IEEJ Transactions Elec Engng

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Current transformers (CTs) with air gaps in their iron cores are mainly applied in power systems to prevent saturation-caused malfunctions of current-based relays. However, performing reliable power system studies necessitates accurate modeling of airgapped CTs. This paper presents a new model for air-gapped CTs based on the Preisach Theory, which has the ability to represent the role of air gaps of different lengths in the performance of a CT. The salient feature of this study in comparison with other published works is that it does not require measuring the magnetization curves of the air-gapped core, which is often difficult. In order to validate the effectiveness of the proposed method, several simulations have been performed using PSCAD/EMTDC and MATLAB software packages. Simulation results indicate that the proposed model can accurately represent the characteristics of saturation as well as remanence of air-gapped CTs.

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Current Transformer Saturation Detection Using Morphological Gradient and Morphological Decomposition and Its Hardware Implementation

Cited by 14 publications

References 12 publications

Microgrid protection using iterative filtering

Microgrid protection using iterative filtering

Framework for current transformer saturation detection and waveform reconstruction

Design and simulation of a new model for air‐gapped current transformers

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