中国电机工程学报2026，Vol.46Issue(6)：2587-2600,中插34,15.DOI:10.13334/j.0258-8013.pcsee.242391
基于径向基函数扩展动态模态分解的油浸式电力变压器绕组瞬态温度场快速预测方法
Rapid Prediction Method for Transient Temperature Rise of Oil-immersed Power Transformer Winding Based on RBF-EDMD
摘要
Abstract
To address the problems of low calculation efficiency of transient temperature rise in oil-immersed power transformer windings and significant computational error of existing rapid calculation methods,a reduced-order fast prediction model based on radial basis function-extended dynamic mode decomposition(RBF-EDMD)is proposed in this paper.The model uses the historical simulation data of transformers to obtain the dynamic mode and mode time coefficient to predict the transient temperature field.The adaptive scale selection strategy for the snapshot matrix is introduced to reduce the data cost in model construction.At the same time,in order to improve the calculation accuracy,the radial basis function is used as the dictionary function to upgrade the data dimension,which mitigates the problem that the computational error of dynamic mode decomposition(DMD)increases significantly in long-term highly nonlinear prediction.By selecting the main modes,the full-field temperature is calculated quickly.Finally,an eight-zone winding model and a temperature rise test platform are established based on the fundamental winding structure of the product-grade 110 kV oil-immersed power transformer to validate the proposed model.The results show that the computational accuracy of the proposed model is significantly improved compared to that of DMD,and is within the acceptable range in engineering.For the temperature rise experiment,the average computational time per time step is only 0.018 s.The conclusion of the study proves that the proposed model can ensure the high fidelity of the transient temperature rise's reduced-order calculation and the real-time application of the digital transformation of electric power equipment.关键词
绕组瞬态温升/扩展动态模态分解/字典函数/径向基函数/油浸式电力变压器Key words
transient temperature rise of winding/extended dynamic mode decomposition(EDMD)/dictionary function/radial basis function/oil-immersed power transformer分类
信息技术与安全科学引用本文复制引用
刘可心,刘云鹏,傅榕韵,刘刚,刘洋,杜振斌..基于径向基函数扩展动态模态分解的油浸式电力变压器绕组瞬态温度场快速预测方法[J].中国电机工程学报,2026,46(6):2587-2600,中插34,15.基金项目
国家自然科学基金联合基金项目(重点支持项目)(U23B20135) （重点支持项目）
河北省"三三三人才工程"项目(C20231116). Project Supported by the Joint Fund of National Natural Science Foundation of China(Key Support Projects)(U23B20135) （C20231116）
Hebei Provincial 3-3-3 Talent Project(C20231116). （C20231116）
