A Fast Discrimination Method of Inrush Current based on Transformer Magnetizing Characteristics

Kitayama, Masashi; Nakabayashi, Miyuki

doi:10.1541/ieejpes1990.121.8_982

Cited by 13 publications

(8 citation statements)

References 3 publications

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“…Harmonic influence on protective relay system and measures for preventing fault relay operation are given in an overview [25]. Some researchers [26][27][28] deal with recognition of inrush current stage and stage of internal fault in transformer windings. These stages are determined and distinguished with higher harmonic content.…”

Section: Inrush Current Problems and Solutionsmentioning

confidence: 99%

New Possibilities in Inrush Current Phenomena Analysis

Stojkov¹

2012

J Elec Electron

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Section: Inrush Current Problems and Solutionsmentioning

confidence: 99%

New Possibilities in Inrush Current Phenomena Analysis

Stojkov¹

2012

J Elec Electron

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“…Private essential loads are arranged on the on-site generator side of the tie breaker and private nonessential loads are arranged on the opposite side to the essential loads. When a fault occurs in the utility system, the fault is detected based on the current and voltage values and the high-speed tie breaker isolates the on-site generator from the utility system to protect the essential loads [5].…”

Section: Fast Fault Detection In Distribution Systemsmentioning

confidence: 99%

“…Since the DWT method proposed in this paper uses only the current waveform, unlike the method in the author's previous work [5], the detection speed is unavoidably degraded. However, a high-speed online detection method of magnetizing inrush current was investigated for application to high-speed protection systems in distribution systems.…”

Section: Introductionmentioning

confidence: 98%

“…The conventional detection method uses the second harmonic component of a transient current waveform, so that the detection of a fault in less than one cycle is difficult. Therefore, the author proposes a new detection method based on the magnetic characteristics of a transformer core in less than one cycle [5].…”

Section: Introductionmentioning

confidence: 99%

“…1, January 2006, pp. [5][6][7][8][9][10][11][12][13] active power flowing into the transformers from each terminal [8], a method of estimating the magnetizing characteristic of a transformer core, using a model characteristic as a reference [9], a method that uses a neural network [10], and a method taking account of the shape of the magnetizing inrush current waveform [11].…”

Section: Introductionmentioning

confidence: 99%

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Wavelet‐based fast discrimination of transformer magnetizing inrush current

Kitayama

2006

Electrical Engineering Japan

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Recently customers who have sensitive industrial loads have been installing co-generation facilities. They can avoid voltage sags and other distribution system related disturbances by supplying electricity to important load from their generators. For another example, FRIENDS, highly reliable distribution system using semiconductor switches or storage devices based on power electronics technology, is proposed. These examples illustrate that the need for high reliability in distribution system is increasing. In order to realize these systems, fast relaying algorithms are indispensable. The authors propose the necessity of protection devices that have the ability of processing fast relaying algorithms for distribution system. In designing fast protection systems, fast discrimination of magnetizing inrush current is also indispensable. Conventional method of inrush current detection for transformer protection utilizes the amount of second harmonic component of differential current. The author proposes a new method of detecting magnetizing inrush current using discrete wavelet transform. Fig. 1 shows the results of wavelet of inrush current. The upper figure shows a waveform of inrush current and the three figures below indicate wavelet components of level 1, 2 and 3. Wavelet Fig. 1. Wavelet components of inrush current and short-circuit fault current transform provides the function of detecting discontinuity of current waveform. accoding to state transition between non-saturation and saturation of transformer core. The proposed method detects spikes of the wavelet component of level 3 derived from the discontinuity of the current waveform at both the beginning and the end of inrush current. In spike detection algorithm, wavelet thresholding, one of the wavelet-based statistical modeling, was applied to estimate detection function of inrush current. Parameters of detection function, such as standard variation of the wavelet component was determined considering a distribution of wavelet component. The proposed method is verified using experimental data using sigle-phase transformer. The result of the spike detection using a moving window is shown in Fig. 2. In this figure, the result of spike detection is plotted together with original current waveform of each inrush and short-circuit fault. In the proposed method, inrush current is discriminated when the 2nd spike of wavelet component or level 3 disappeared. In this case, inrush current can be discriminated at 11.6 ms after inrush current began to flow. This simulation shows that the propsed method can can detect inrush current in less than 1 cycle and was proved to be effective. Fig. 2. Results of inrush current descrimination by spike detection-1

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An Identification Method of Magnetizing Inrush Current Phenomena by Voltage Waveform

Naitoh

Takeda

Toyama

et al. 2013

Electrical Engineering Japan

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Summary In this paper, the authors propose a new method for identification of magnetizing inrush current phenomena. In general, the identification is performed using the current waveform. However, saturation of current transformers makes it impossible to obtain such a waveform. Therefore, the authors introduce an identification method using the voltage waveform, in which the transformer saturation voltage does not occur. By applying Aitken's Δ2 process, it is shown that the new identification method gives accurate saturation start and end times.

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A Fast Discrimination Method of Inrush Current based on Transformer Magnetizing Characteristics

Cited by 13 publications

References 3 publications

New Possibilities in Inrush Current Phenomena Analysis

New Possibilities in Inrush Current Phenomena Analysis

Wavelet‐based fast discrimination of transformer magnetizing inrush current

An Identification Method of Magnetizing Inrush Current Phenomena by Voltage Waveform

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