Optimized dielectric design of transformer windings under fast-front voltage pulses from power electronic converters

Villanueva-Ramirez, Juan M.; Gómez, Pablo; Meyer, Richard

doi:10.1016/j.ijepes.2021.106849

Cited by 6 publications

(4 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…From the Kriging model properties, it is known that the variance of the estimated value of the error must be minimised, that is, so that the first-order derivative of the variance of the error formula is 0, which can be shown in Equation (16). And the matrix form of Equation ( 16) can be written in Equation (17).…”

Section: The Application Of Kriging Methods In the Process Of Optimis...mentioning

confidence: 99%

“…First, only a single field is usually the target for calculation and optimisation, like electric field of temperature, electric field and temperature field are not integrated in the process of optimisation [15,16]. Second, the influence of electro-thermal coupling on electric-field distribution is not considered in optimisation process [17,18]. Finally, the previous optimisation process of oil-paper insulation for converter transformer is usually carried out based on the experience of designers [19], so it is urgent to explore more practical theories and methods of structure optimisation for designers and manufactures.…”

Section: Introductionmentioning

confidence: 99%

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Analysis of multi‐objective optimisation method for main insulation structure configuration scheme of valve‐side winding of ultra‐high voltage converter transformer considering multi‐field coupling

Yang,

Cheng,

Cheng

et al. 2023

High Voltage

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Because DC conductivities of oil‐paper materials can be easily affected by electric field and temperature, the electrical properties under electro‐thermal coupling of oil‐paper materials should be considered when optimising the insulation structure of valve‐side winding of the converter transformer. Based on the finite element multi‐physical field coupling simulation, the multi‐objective optimisation of main insulation structure of valve‐side winding is carried out. In view of the high time consuming of multi‐physical field calculation and the actual needs of an insulation structure optimisation, the Kriging method and technique for order preference by similarity to the ideal solution (TOPSIS) method are introduced, and combines them with NSGA‐II to obtain a joint algorithm that can be used for the optimisation of insulation structure of the converter transformer. By using the joint algorithm of multi‐objective optimisation, the insulation structure configuration scheme of valve‐side winding is optimised. It can be seen from the experiment result that, on the one hand, the joint algorithm adopted can obtain the insulation structure configuration scheme that meets the design requirements. On the other hand, when facing the configuration scheme optimisation under multi‐field coupling, the computational time required by this method is only 0.15 % of that required by original genetic algorithm.

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Section: The Application Of Kriging Methods In the Process Of Optimis...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Analysis of multi‐objective optimisation method for main insulation structure configuration scheme of valve‐side winding of ultra‐high voltage converter transformer considering multi‐field coupling

Yang,

Cheng,

Cheng

et al. 2023

High Voltage

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show abstract

“…Area Elimination Technique is suitable for dealing with multiple variable systems. To use the program to design transformers for distribution at a reasonable price, the following information must be specified [18][19][20][21][22].…”

Section: Step Of Area Elimination Technique Programmentioning

confidence: 99%

The Characterization Analysis of the Oil-Immersed Transformers Obtained by Area Elimination Method Design

Thungsuk

Mungkung²,

Tanaram

et al. 2022

Applied Sciences

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This study used the Area Elimination Method (AEM) of transformer design with transformer characteristic simulation. The multidimensional variable of physical parameters such as magnetic density, current density, voltage and coil turn was performed. This method was used in designing the 8000 kVA 22,000–3300/1905 V oil-type large distribution transformer. The result from a design found that the objective function tries to reduce the material to be used, and less core steel, less conductors, less transformer oil or less transformer tanks may cause an increasing load loss or increasing temperature rise, but we have calculated the temperature in the winding and design the radiator fins at the same time. After designing the transformer with AEM and it being manufactured in the production process, the transformer was tested according to IEC standards. It was confirmed that the power loss tests with no load yielded lower power loss than the standard value. In addition, the transformer passed the satisfaction test and the results of this design were built and tested with IEC 60076 standards. The information from the design using the Area Elimination Method could be a guarantee of standardized accuracy for oil distribution transformers. This also saves time and increases design efficiency for transformer designers.

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“…In recent years, there has been a rapid increase in renewable energy sources such as photovoltaic and wind generators [1]- [3]. These energy sources have presented new challenges such as the risk of high harmonic voltage distortion due to their use of power electronic converters [1], [4], [5]. These power system harmonics have increased in both amplitude and frequency bandwidth.…”

Section: Introductionmentioning

confidence: 99%

Characterizing power transformer frequency responses using bipolar pseudo-random current impulses

Sayyid

2021

IJPEDS

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The behaviour of a power transformer is complex and difficult to predict during transient conditions or during operation at frequencies below or above its nominal frequency, a phenomenon common in renewable energy plants due to harmonic distortion. Furthermore, the accuracy of a power system simulation depends on the models of critical subsystems such as the power transformers. This paper presents the use of a unique excitation waveform comprising of pseudo-random current impulses to accurately identify the wideband characteristics of a power transformer. By injecting the excitation waveform to the relevant transformer terminals, frequency responses are determined by cross-correlation of the perturbation signal, and the measured response. Compared to the traditional transformer identification methods, the pseudo-random current impulses offer a wideband excitation with a higher degree of controllability such that its spectral energy can be focused in the frequency band of interest. The proposed method was investigated on a 16 kVA, 22 kV/240 V single-phase transformer. The obtained wideband frequency responses provide useful information in harmonic penetration and over-voltage studies and are also used to estimate, with a high degree of accuracy, the lumped parameters of the equivalent transformer broadband circuit model.

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Optimized dielectric design of transformer windings under fast-front voltage pulses from power electronic converters

Cited by 6 publications

References 22 publications

Analysis of multi‐objective optimisation method for main insulation structure configuration scheme of valve‐side winding of ultra‐high voltage converter transformer considering multi‐field coupling

Analysis of multi‐objective optimisation method for main insulation structure configuration scheme of valve‐side winding of ultra‐high voltage converter transformer considering multi‐field coupling

The Characterization Analysis of the Oil-Immersed Transformers Obtained by Area Elimination Method Design

Characterizing power transformer frequency responses using bipolar pseudo-random current impulses

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