Optimization of Lead Insulations for HVDC Converter Transformers

Yea, Manje; Park, Jae Yong; Lee, Seung-Wook; Choi, Jongung; Han, Ki Jin

doi:10.1007/s42835-019-00195-w

Cited by 4 publications

(2 citation statements)

References 7 publications

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“…The unbiased requirement is satisfied regardless of any weights taken. The variance formula for the error of the estimate is as shown in Equation (15).…”

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

confidence: 99%

“…However, there are still the following problems in the existing optimisation work of insulation structure of related transformers. 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].…”

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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“…The unbiased requirement is satisfied regardless of any weights taken. The variance formula for the error of the estimate is as shown in Equation (15).…”

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

confidence: 99%