基于SCAS时间匹配算法油浸式变压器绕组瞬态温升计算方法

doi:10.19595/j.cnki.1000-6753.tces.222137

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Abstract

For the time matching problem of two or more multiple physical fields, the traditional idea generally considers that the physical fields are solved by coupling with fixed equal time steps. This direct coupling algorithm is named conventional serial staggered(CSS), but there are two obvious problems in this time matching method, namely, step size adjustment and coupling point selection, Therefore, this paper proposes a time matching algorithm based on Sub cyclic adaptive staggered (SCAS).
Firstly, in the aspect of step size adjustment, the Adaptive Time Stepping algorithm (ATS) is added, and the difference of approximate solutions with different accuracy is used as the basis for time step adjustment. At the same time, for nonlinear problems, the Heuristic time stepping method (HTS) is combined to set the number of iterations as the basis for nonlinear discrimination, which solves the problem that the step size cannot be adjusted in real time under strong nonlinear problems, it can obtain a more appropriate step size at each time according to the change trend of the physical field under the allowable error. The introduction of the ATS-HTS hybrid variable step size method greatly reduces the number of computing time steps.
Secondly, for the problem of coupling point selection, this paper proposes SCAS time matching algorithm based on CSS time matching algorithm, which uses adaptive scheme to determine the calculation time window and predetermined coupling points, and introduces exponential smoothing method to ensure its accuracy.
Finally, in order to verify the effectiveness of the proposed method, a two-dimensional transient single zone split turn winding model is established, and the proposed method is compared with other traditional methods. The results show that: compared with the traditional CSS algorithm, in terms of accuracy, the average relative error of flow field of SCAS algorithm is 0.25%; The average relative error of temperature field is 0.45%, which is within the acceptable error range; In terms of efficiency, compared with the traditional CSS time matching algorithm, after combining coupling point selection and step size adaptive selection, the SCAS algorithm has further reduced the number of coupling times and computing time steps, and its overall computing efficiency is nearly 20 times higher than the CSS algorithm.
At the same time, in order to further illustrate the value of the proposed algorithm in engineering practice, this paper has built a temperature rise experimental platform based on the 110kV transformer winding model, and applied the SCAS time matching algorithm to the heat transfer model. The calculation and experimental results show that: in terms of accuracy, the maximum absolute error between the SCAS algorithm and the experiment when reaching the steady state occurs at the temperature measuring points of 30 wire cakes and 4, which is 2.7K. Because the temperature rise experiment is affected by several uncontrollable factors. Therefore, the error is within the acceptable range. In terms of computational efficiency, the computational efficiency of the algorithm proposed in this paper is about 46 times higher than that of the traditional algorithm, and the number of computational steps is about 1/47 of the traditional algorithm, which greatly reduces computational redundancy.

Key words： Sub-cyclic adaptive staggered mixed variable time step thermal coupling problem of two dimensional transient flow fast calculation method temperature rise experiment

Received: 11 November 2022

PACS:

TM411

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	Liu Gang
	Hao Shiyuan
	Hu Wanjun
	Liu Yunpeng
	Li Lin

Cite this article:

Liu Gang,Hao Shiyuan,Hu Wanjun等. Transient Temperature Rise Calculation of Oil Immersed Transformer Winding Based on SCAS Time Matching Algorithm[J]. Transactions of China Electrotechnical Society, 0, (): 125-125.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.222137 OR https://dgjsxb.ces-transaction.com/EN/Y0/V/I/125

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