降阶技术与监测点数据融合驱动的油浸式变压器绕组瞬态温升快速计算方法  

A Fast Calculation Method for Transient Temperature Rise of Oil Immersed Transformer Windings Driven by Fusion of Order Reduction Technology and Monitoring Point Data

作　　者：刘刚 胡万君[1] 刘云鹏 武卫革 李琳[2] Liu Gang;Hu Wanjun;Liu Yunpeng;Wu Weige;Li Lin(Hebei Provincial Key Laboratory of Power Transmission Equipment Security Defense,North China Electric Power University,Baoding071003,China;State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources,North China Electric Power University,Beijing102206,China;Hebei Provincial Key Laboratory of Electromagnetic&Structural Performance of Power Transmission and Transformation Equipment,Baoding Tianwei Baobian Electric Co.Ltd,Baoding071056,China)

机构地区：[1]河北省输变电设备安全防御重点实验室(华北电力大学),保定071003 [2]华北电力大学新能源电力系统国家重点实验室,北京102206 [3]河北省输变电装备电磁与结构性能重点实验室(保定天威保变电气股份有限公司),保定071056

出　　处：《电工技术学报》2024年第19期6162-6174,共13页Transactions of China Electrotechnical Society

基　　金：国家重点研发计划(2021YFB2401700);中央高校基本科研业务费专项资金(2022MS073)资助项目。

摘　　要：为了提高油浸式电力变压器绕组瞬态温升的计算效率,提出了一种基于离散监测点的温度场降阶计算方法。该方法以绕组内部若干离散监测点的温度信息为输入,以基于本征正交分解的降阶算法为载体,建立瞬态过程中温度场的快速反演模型,从而实现从监测点数据到温度场全域的快速计算。首先分析了本征正交分解算法的降阶特性,在此基础上建立了从场域内离散监测点数据到降阶模态,再到温度场全域的快速计算策略。为了验证算法的有效性,该文根据油浸式电力变压器绕组结构特点建立二维八分区分匝绕组传热模型,并对比了所提出的降阶计算方法与全阶计算方法的精度和效率,结果表明,二者的最大平均计算偏差仅为1.03 K,摄氏温标下温升的最大平均相对误差不超过5%,且降阶计算时间仅为0.18 s,相较于全阶计算获得了较高的效率提升。最后,依靠110 kV油浸式变压器绕组温升试验平台,通过测量绕组实际的温升情况,对算法的性能进一步验证,相关结果表明所提算法各时刻的计算结果与测量结果相比最大误差不超过4.67 K,且各测量线饼的平均误差不超过1.02 K,在工程上属于可接受的范围。同时,所提算法对绕组瞬态温升全过程的计算时间仅为3.40s,初步实现了实际工程场景下对于绕组瞬态温升快速计算的要求。In order to improve the calculation efficiency of transient temperature rise in oil immersed power transformer windings,order reduction technology is one of the most effective methods in current research.This paper considers fully utilizing the order reduction characteristics of POD method and proposes a calculation method that uses temperature information from several discrete monitoring points in the field to quickly invert the physical field.Firstly,the article derives the reduced expression of the full order temperature field of transformers based on the POD method,and on this basis,establishes the relationship between discrete monitoring points and the temperature distribution in the entire field.In this method,the POD modal matrix can be obtained through a single calculation of the snapshot matrix,the modal coefficients are obtained through the temperature information of discrete monitoring points,and the temperature distribution of the winding at each step in the transient process can be obtained by multiplying the above two on this basis.Due to the absence of complex nonlinear calculations and large-scale equation iteration processes,this method theoretically has high computational efficiency.At the same time,in order to ensure the accuracy of temperature field inversion,the selection of monitoring point positions within the field is crucial.Therefore,in order to improve computational accuracy,this paper introduces a discrete point selection strategy based on column principal component QR decomposition.Relevant research results show that using this method for temperature inversion in the entire field has a good upper limit of error.In order to verify the correctness of the method proposed in this article,based on the basic structure of transformer cake windings,an eight zone winding numerical calculation model and corresponding temperature rise test platform were established.The performance of the method was discussed through numerical simulation and experimental results.The relevant results showed that t

关 键 词：油浸式电力变压器 本征正交分解 离散监测点 快速计算方法 

分 类 号：TM411[电气工程—电器]