基于数据模型混合驱动的油-自然空气-自然变压器散热器结构优化模型

IF 6.1 2区 工程技术 Q2 ENERGY & FUELS
Chuan Zhang , Guoqiang Gao , Yujun Guo , Yijie Liu , Yicen Liu , Guangning Wu
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引用次数: 0

摘要

电力变压器是电力系统的核心设备。建立散热器结构参数与热点温度(HST)之间的模型对于优化变压器冷却结构、提高变压器冷却能力以及确保电力系统的安全稳定运行至关重要。现有模型通常采用数据驱动法。然而,由于缺乏合理的物理意义,现有模型往往存在泛化能力不足、计算复杂度高、可解释性差等问题,限制了其预测精度和适用性。因此,本文提出了一种数据-模型混合驱动模型(DMHDM),将油-自然-空气-自然(ONAN)变压器的散热器传热物理模型与有限元仿真模型获得的 HST 数据进行了集成。首先,对散热器翅片的传热过程进行理论分析,从而建立低保真物理模型。然后,采用全因子设计方法和 CFD 模型,获取样本数据,在数据驱动法的基础上建立高保真 HST 预测模型。最后,构建了单相 ONAN 变压器的 CFD 模型。将 DMHDM 与传统的响应面方法 (RSM) 进行了比较,并分析了误差来源。结果表明,DMHDM 具有更好的可解释性,在样本集中的准确性提高了 20.5%,泛化能力提高了 98.6%,计算复杂度降低了 92.5%。这项研究为建立 ONAN 变压器散热器结构参数与 HST 之间的关系提供了一个高效可行的框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Structural optimization model of oil-natural air-natural transformer radiator based on data-model hybrid-driven
The power transformer is the central equipment of the power system. Establishing a model between radiator structural parameters and hot spot temperature (HST) is crucial for optimizing transformer cooling structures, enhancing transformer cooling capabilities, and ensuring the safe and stable operation of power systems. Existing models typically utilize data-driven methods. However, due to their lack of reasonable physical significance, existing models often suffer from issues such as insufficient generalization capability, high computational complexity, and poor interpretability, restricting their predictive accuracy and applicability. Therefore, this paper proposes a data-model hybrid-driven model (DMHDM) that integrates the radiator heat transfer physical model of the oil-natural air-natural (ONAN) transformer with HST data obtained from a finite element simulation model. Firstly, a theoretical analysis of the heat transfer process of the radiator fins is conducted, leading to the establishment of a low-fidelity physics model. Then, employing the full factorial design method and CFD model, sample data is obtained to develop a high-fidelity HST prediction model based on the data-driven method. Finally, a CFD model of a single-phase ONAN transformer was constructed. The DMHDM was compared with the traditional response surface methodology (RSM), and the sources of errors were analyzed. The results indicate that DMHDM provides better interpretability, improves accuracy by 20.5% within the sample set, enhances generalization capability by 98.6%, and reduces computational complexity by 92.5%. This study provides an efficient and feasible framework for establishing the relationship between structural parameters of ONAN transformer radiators and HST.
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来源期刊
Applied Thermal Engineering
Applied Thermal Engineering 工程技术-工程:机械
CiteScore
11.30
自引率
15.60%
发文量
1474
审稿时长
57 days
期刊介绍: Applied Thermal Engineering disseminates novel research related to the design, development and demonstration of components, devices, equipment, technologies and systems involving thermal processes for the production, storage, utilization and conservation of energy, with a focus on engineering application. The journal publishes high-quality and high-impact Original Research Articles, Review Articles, Short Communications and Letters to the Editor on cutting-edge innovations in research, and recent advances or issues of interest to the thermal engineering community.
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