Effect of external load resistance on Rosen transformer surface electrical potential

Stekke, Jordan; Pigache, François

doi:10.1080/00150193.2018.1529963

Cited by 2 publications

(4 citation statements)

References 11 publications

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“…In this paper, the ambient temperature and voltage transformer measurements as inputs to the BP neural network model are denoted by ( 1,2) i xi = . j s and ( 1, 2, ,5) j vj = are the inputs and outputs of the j th neuron in the implicit layer of the temperature compensation model.…”

Section: Temperature Compensation Based On Bp Neural Networkmentioning

confidence: 99%

“…A voltage transformer (PT) is an important measurement device in the power system, which is the basis for building energy internet to build information flow [1]. Its primary winding is connected to the high-voltage power grid, and the secondary winding is connected to protection devices, measuring instruments, metering devices, and other equipment.…”

Section: Introductionmentioning

confidence: 99%

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Voltage transformer metering error state prediction method based on GA-BP algorithm

Gao,

Zhao,

Jiang

et al. 2023

Applied Mathematics and Nonlinear Sciences

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The metering accuracy of the voltage transformer is related to the normal operation of the power system, and the metering results can be optimized through the prediction of the error state. In this paper, according to the generation mechanism of the measurement error of the transformer, the maximum information coefficient is used to extract the error characteristic quantity, and the measurement perturbation model is constructed by combining the ambient temperature and the secondary load factor. Due to the specificity of the ambient temperature, a BP neural network is also used to compensate for the temperature of the perturbation model, which prepares for the improved BP neural network based on a genetic algorithm to recognize the error data. Finally, the simulated operation of the three-phase voltage transformer and the measured data of the wiring substation were utilized for validation, respectively. With the help of three-phase CVT simulation, the error change of A-phase simulated CVT amplitude information at the 4001st sampling point is 0.0962%, and the error change of phase information is -4.572′.GA-BP neural network also has high sensitivity to the difficult-to-detect asymptotic error and is able to realize the error calibration of voltage transformer.

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Section: Temperature Compensation Based On Bp Neural Networkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Voltage transformer metering error state prediction method based on GA-BP algorithm

Gao,

Zhao,

Jiang

et al. 2023

Applied Mathematics and Nonlinear Sciences

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show abstract

“…One key parameter of interest is the electric field surrounding the PT's distal end where the high surface voltage is induced. Whereas in conventional plasma sources, high voltage probes or surface voltmeters can be employed to measure the applied voltage on the electrode and thus deduce the consequent electric field, in PT-driven plasma generation these tools cannot be utilized because they inevitably interfere with the PT's vibration [37] and/or lead to changes in the PT's output load and surrounding environment [26,38]. Based on the relative probe method [39,40], Teranishi et al first proposed a non-contact approach for absolute surface potential measurement on a PT device [37,41].…”

Section: Introductionmentioning

confidence: 99%

“…Based on the relative probe method [39,40], Teranishi et al first proposed a non-contact approach for absolute surface potential measurement on a PT device [37,41]. Measurements using this approach, along with its modifications, have been compared to analytical models developed by Pigache and collaborators [31,38]. Despite the measured potential values showing satisfactory agreement with the analytical predictions in some areas on the PT's surface [38,42], discrepancies suggest that it would be impactful to have a secondary experimental tool for comparison, validation, and an overall deeper understanding of the underlying physics.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporally resolved measurements of electric field around a piezoelectric transformer using electric-field induced second harmonic (E-FISH) generation

Yang¹,

Barnat²,

Im³

et al. 2022

J. Phys. D: Appl. Phys.

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When a piezoelectric transformer (PT) is actuated at its second harmonic frequency by a low input voltage, the generated electric field at the distal end can be sufficient to breakdown the surrounding gas, making them attractive power sources for non-equilibrium plasma generation. Understanding the potential and electric fields produced in the surrounding medium by the PT is important for effectively designing and using PT plasma devices. In this work, the spatiotemporally resolved characteristics of the electric field generated by a PT operating in open air have been investigated using the femtosecond electric field-induced second harmonic generation (E-FISH) method. Electric field components were determined by simultaneously conducting E-FISH measurements with the incident laser polarized in two orthogonal directions relative to the PT crystal. Results of this work demonstrate the spatial distribution of electric field around the PT’s output distal end and how it evolves as a function of time. Notably, the strongest electric field appears on the face of the PT’s distal surface, near the top and bottom edges and decreases by approximately 70% over 3 mm. The time delay between the PT’s input voltage and measured electric field indicates that there is an about 0.45 phase difference between the PT’s input voltage and output signal.

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Effect of external load resistance on Rosen transformer surface electrical potential

Cited by 2 publications

References 11 publications

Voltage transformer metering error state prediction method based on GA-BP algorithm

Voltage transformer metering error state prediction method based on GA-BP algorithm

Spatiotemporally resolved measurements of electric field around a piezoelectric transformer using electric-field induced second harmonic (E-FISH) generation

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