Transformer Health Status Evaluation Based onRough Set G1 Combined Weighting

doi:10.12204/j.issn.1000-7229.2022.03.006

Abstract

Abstract:

In view of the imperfection of the index system and singleness and one sidedness of the index weight determination method in the construction of the power transformer health index model, a transformer health status evaluation method based on the optimal combination of rough set-G1 (order relationship analysis method) is proposed in this paper. The comprehensive index system model of transformer health status is established by integrating transformer aging, electrical test, oil color spectrum test, oil quality test, furfural test and accessories. The objective weight is obtained by rough set and the subjective weight is obtained by G1 method. The objective and subjective optimal combination method is used to scientifically weight each index. Finally, through the overall health index model of power transformer, the health indices of 7 transformers with different voltage levels are calculated to evaluate their health status. Compared with the traditional index system and weight method, it is verified that the index system proposed in this paper is more in line with the evaluation practice, the index weight is more reasonable, and the accuracy and reliability of transformer health status evaluation are improved.

Key words: rough set, G1 method, optimize combination and weighting, health index, transformer condition evaluation

CLC Number:

TM63

YUAN Wanling, CUI Zixuan, YU Hongbo, ZOU Xiaosong, XIONG Wei, YUAN Xufeng. Transformer Health Status Evaluation Based onRough Set G1 Combined Weighting[J]. ELECTRIC POWER CONSTRUCTION, 2022, 43(3): 50-57.

Figures/Tables 11

Fig.1 Transformer health status index system

Table 1 Health index status level

Table 2 Classification of electrical indicators

Table 3 Casing correction factor

Table 4 Operation correction coefficient ofcooling system motor

Table 5 Correction coefficient of oil leakage in cooling system

Table 6 Determination of fcom and HC

Table 7 Comparison plan

Table 8 State weight

Table 9 Calculation results of health index

Table 10 Correct number of transformersjudged under six schemes

References 21

[1]	WANG J, ZHU W B, GU C, et al. The new developed health index for power transformer condition assessment[C]// 2020 5th Asia Conference on Power and Electrical Engineering (ACPEE). Chengdu: China, IEEE, 2020: 1880-1884.
[2]	国家电网公司科技部. 油浸式变压器(电抗器)状态评价导则: Q/GDW 169—2008[S]. 北京: 中国电力出版社, 2008.
[3]	DO T D, TUYET-DOAN V N, CHO Y S, et al. Convolutional-neural-network-based partial discharge diagnosis for power transformer using UHF sensor[J]. IEEE Access, 2020(8):207377-207388.
[4]	肖彦娟, 丁坚勇. 基于故障树的电气主接线可靠性及薄弱环节分析[J]. 电测与仪表, 2020, 57(16):12-16.
	XIAO Yanjuan, DING Jianyong. Reliability evaluation and weak part identification analysis of main electrical connection based on fault tree[J]. Electrical Measurement & Instrumentation, 2020, 57(16):12-16.
[5]	谭贵生, 曹生现, 赵波, 等. 基于关联规则与变权重系数的变压器状态综合评估方法[J]. 电力系统保护与控制, 2020, 48(1):88-95.
	TAN Guisheng, CAO Shengxian, ZHAO Bo, et al. An assessment of power transformers based on association rules and variable weight coefficients[J]. Power System Protection and Control, 2020, 48(1):88-95.
[6]	黄翔, 王凌云, 王泉, 等. 基于直觉模糊VIKOR法的电力变压器部件风险优先级评估[J]. 高压电器, 2020, 56(12):177-183.
	HUANG Xiang, WANG Lingyun, WANG Quan, et al. Risk priority evaluation of power transformer parts based on intuitionistic fyzzy VIKOR method[J]. High Voltage Apparatus, 2020, 56(12):177-183.
[7]	禹洪波, 袁婉玲, 汪敏, 等. 基于非对称贴近度证据云物元模型的电力变压器综合状态评估方法[J]. 电网技术, 2021, 45(9):3706-3713.
	YU Hongbo, YUAN Wanling, WANG Min, et al. Comprehensive condition assessment of power transformer based on asymmetric nearness degree evidence cloud matter-element model[J]. Power System Technology, 2021, 45(9):3706-3713.
[8]	凌静. 110~500kV电力变压器健康指数模型研究与应用[D]. 广州: 华南理工大学, 2017.
	LING Jing. Research and application of 110-500kV power transformer health index model[D]. Guangzhou: South China University of Technology, 2017.
[9]	FOROS J, ISTAD M. Health index, risk and remaining lifetime estimation of power transformers[J]. IEEE Transactions on Power Delivery, 2020, 35(6):2612-2620. doi: 10.1109/TPWRD.2020.2972976 URL
[10]	梁博渊, 刘伟, 杨欣桐. 变压器健康状况评估与剩余寿命预测[J]. 电网与清洁能源, 2010, 26(11):37-43.
	LIANG Boyuan, LIU Wei, YANG Xintong. Transformer condition assessment and residual life prediction[J]. Power System and Clean Energy, 2010, 26(11):37-43.
[11]	ZHANG Zongxi, LIU Rui, et al. Micro oxygen under the action of natural resin transformer oil heat aging properties research[J/OL]. Electric logging and instrumentation: 1-6 [2021-08-26]. http://kns.cnki.net/kcms/detail/23.1202.TH.20210419.1500.010.html.
[12]	古一灿, 唐文虎, 辛妍丽, 等. 基于多尺度数学形态学和高低频能量比值的海上风电场内部瞬态过电压特征分析[J]. 中国电机工程学报, 2021, 41(5):1702-1713.
	GU Yican, TANG Wenhu, XIN Yanli, et al. Feature analysis for transient overvoltage in offshore wind farm based on high and low frequency energy rate using multi-scale mathematical morphology[J]. Proceedings of the CSEE, 2021, 41(5):1702-1713.
[13]	孙鹏, 黄绪勇, 耿苏杰, 等. 基于实时监测和例行试验数据的电力变压器状态动态评估方法[J]. 电力自动化设备, 2018, 38(3):210-217.
	SUN Peng, HUANG Xuyong, GENG Sujie, et al. Dynamic assessment of power transformer status based on real-time monitoring and experimental data[J]. Electric Power Automation Equipment, 2018, 38(3):210-217.
[14]	胡阳, 杨泽, 房方, 等. 火电机组供电碳减排高维运行特征提取及其最优基准值确定[J]. 中国电机工程学报, 2021, 41(S1):210-220.
	HU Yang, YANG Ze, FANG Fang, et al. High dimensional operation feature extraction and optimal reference value determination of carbon emission reduction for power supply of thermal power units[J]. Proceedings of the CSEE, 2021, 41(S1):210-220.
[15]	HU M, TSANG E C C, GUO Y T, et al. A novel approach to attribute reduction based on weighted neighborhood rough sets[J]. Knowledge-Based Systems, 2021, 220:106908. doi: 10.1016/j.knosys.2021.106908 URL
[16]	ZOU Yang, HE Jin, JIN Tao. Transformer Oil-paper Insulation State Evaluation Model based on NRS and D-S Evidence Theory[J/OL]. Journal of electrical and control: 1-8 [2021-08-07]. http://kns.cnki.net/kcms/detail/23.1408.TM.20210615.1831.004.html.
[17]	贾一凡, 王春杰, 孔珍珍, 等. 基于AHP的高压电器产品认证评价方法研究[J]. 高压电器, 2020, 56(7):229-233, 245.
	JIA Yifan, WANG Chunjie, KONG Zhenzhen, et al. Research on product certification evaluation method of high-voltage electrical equipments[J]. High Voltage Apparatus, 2020, 56(7):229-233, 245.
[18]	王智越. 基于PCA与层次分析法的电力变压器健康状态评估方法研究[D]. 郑州: 华北水利水电大学, 2020.
	WANG Zhiyue. Research on health assessment method of power transformer based on PCA and analytic hierarchy process[D]. Zhengzhou: North China University of Water Resources and Electric Power, 2020.
[19]	李振柱, 谢志成, 熊卫红, 等. 考虑绝缘剩余寿命的变压器健康状态评估方法[J]. 电力自动化设备, 2016, 36(8):137-142, 169.
	LI Zhenzhu, XIE Zhicheng, XIONG Weihong, et al. Transformer health condition assessment considering insulation remaining life[J]. Electric Power Automation Equipment, 2016, 36(8):137-142, 169.
[20]	彭道刚, 陈跃伟, 范俊辉, 等. 基于层次分析法和粗糙集的变压器状态评估研究[J]. 高压电器, 2019, 55(7):150-157.
	PENG Daogang, CHEN Yuewei, FAN Junhui, et al. Research on assessment of transformer state using analytic hierarchy process and rough set theory[J]. High Voltage Apparatus, 2019, 55(7):150-157.
[21]	LEE C Y, LEE H, SEOL H, et al. Evaluation of new service concepts using rough set theory and group analytic hierarchy process[J]. Expert Systems With Applications, 2012, 39(3):3404-3412. doi: 10.1016/j.eswa.2011.09.028 URL