基于组合赋权-双基点法的变压器油纸绝缘状态综合评估

doi:10.19595/j.cnki.1000-6753.tces.181545

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Abstract The accurate diagnosis of transformer oil-paper insulation state has important guiding significance for the formulation of maintenance strategy. In order to realize the objective scientific evaluation of the insulation state of oil-paper, a multi-feature comprehensive evaluation model of transformer oil-paper insulation state based on combined weighting-double base point method was established. Firstly, according to the shortcomings of the single feature quantity evaluation, based on the existing time-domain dielectric spectrum data, multiple aging feature quantities were extracted from the recovery voltage polarization spectrum and the extended Debye equivalent circuit respectively, and a standard evaluation index system was established. Secondly, to overcome the shortcomings of the single weighting method, the combination weighting model was used to take into account the subjective experience of experts and the objective differences of data. Finally, based on the double base point method, the closeness of the object was evaluated and the ideal point of the standard state were calculated, and the oil-paper insulation state was obtained. The case studies prove that the evaluation model built in this paper can effectively and accurately diagnose the insulation state of the transformer, which provides a new method for the evaluation of transformer oil-paper insulation state.

Key words： Oil-paper insulation combined weight method double base point method com- prehensive evaluation of state

Received: 21 September 2018 Published: 30 October 2019

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TM85

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	Zou Yang
	He Qianling
	Cai Jinding

Cite this article:

Zou Yang,He Qianling,Cai Jinding. Comprehensive Evaluation of Transformer Oil-Paper State Based on Combined Weight-Double Base Point Method[J]. Transactions of China Electrotechnical Society, 2019, 34(20): 4400-4408.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.181545 OR https://dgjsxb.ces-transaction.com/EN/Y2019/V34/I20/4400

[1] 邹经鑫, 陈伟根, 万福,等. 油纸绝缘老化拉曼光谱特征量提取及诊断方法[J]. 电工技术学报, 2018, 33(5): 1133-1142.
Zou Jingxin, Chen Weigen, Wang Fu, et al.The raman spectral feature extraction and diagnosis of oil-paper insulation ageing[J]. Transactions of China Electrotechnical Society, 2018, 33(5): 1133-1142.
[2] 蔡金锭, 叶荣, 陈汉城. 回复电压多元参数回归分析的油纸绝缘老化诊断方法[J]. 电工技术学报, 2018, 33(21): 5080-5089.
Cai Jinding, Ye Rong, Chen Hancheng.Aging diagnosis method of oil-paper insulation based on multiple parameter regression analysis of recovery voltage[J]. Transactions of China Electrotechnical Society, 2018, 33(21): 5080-5089.
[3] 廖瑞金, 孙会刚, 袁泉, 等. 采用回复电压法分析油纸绝缘老化特征量[J]. 高电压技术, 2011, 37(1): 136-142.
Liao Ruijin, Sun Huigang, Yuan Quan, et al.Analysis of oil paper insulation aging characteristics using recovery voltage method[J]. High Voltage Engin- eering, 2011, 37(1): 136-142.
[4] 邹阳, 蔡金锭. 变压器极化谱特征量与绝缘状态关系研究[J]. 仪器仪表学报, 2015, 36(3): 608-614.
Zou Yang, Cai Jinding.Study on the relationship between polarization spectrum characteristic quantity and insulation condition of oil-paper transformer[J]. Chinese Journal of Scientific Instrument, 2015, 36(3): 608-614.
[5] 黄云程, 蔡金锭. 应用去极化能量谱评估变压器绝缘老化受潮状态[J]. 电工电能新技术, 2016, 35(1): 53-59.
Huang Yuncheng, Cai Jinding.Diagnosis of insulation condition of transformers by using depo- larization energy spectrum[J]. Advanced Technology of Electrical Engineering and Energy, 2016, 35(1): 53-59.
[6] 蔡金锭, 黄云程. 基于灰色关联诊断模型的电力变压器绝缘老化研究[J]. 高电压技术, 2015, 41(10): 3296-3301.
Cai Jinding, Huang Yuncheng.Study on insulation aging of power transformer based on gray relational diagnostic model[J]. High Voltage Engineering, 2015, 41(10): 3296-3301.
[7] 黄云程, 蔡金锭. 融合改进层次分析与灰色关联法评估油纸绝缘状态[J]. 仪器仪表学报, 2015, 36(9): 2083-2090.
Huang Yuncheng, Cai Jinding.Fusing improved analytic hierarchy process and gray correlation method to evaluate oil-paper insulation condition[J]. Chinese Journal of Scientific Instrument, 2015, 36(9): 2083-2090.
[8] 徐煜祥, 江修波, 祝顺才. 基于模糊聚类算法的油纸绝缘状态研究[J]. 电气开关, 2017, 55(5): 22-26.
Xu Yuxiang, Jiang Xiubo, Zhu Shuncai.Study on oil- paper insulation condition based on fuzzy clustering analysis method[J]. Electric Switchgear, 2017, 55(5): 22-26.
[9] 廖瑞金, 王谦, 骆思佳, 等. 基于模糊综合评判的电力变压器运行状态评估模型[J]. 电力系统自动化, 2008(3): 70-75.
Liao Ruijin, Wang Qian, Luo Sijia, et al.Condition assessment model for power transformer in service based on fuzzy synthetic evaluation[J]. Automation of Electric Power Systems, 2008, 32(3): 70-75.
[10] 祝顺才, 蔡金锭. 基于模糊-灰色聚类的油纸绝缘状态综合诊断[J]. 仪器仪表学报, 2017, 38(3): 718-725.
Zhu Shuncai, Cai Jinding.Comprehensive diagnosis of oil-paper insulation status based on fuzzy gray clustering[J]. Chinese Journal of Scientific Instru- ment, 2017, 38(3): 718-725.
[11] 邹阳, 蔡金锭. 油纸绝缘变压器时域极化谱特性实验分析[J]. 电工技术学报, 2015, 30(12): 307-313.
Zou Yang, Cai Jinding.Experimental analysis on time-domain polarization spectrum of oil-paper insulation transformer[J]. Transactions of China Electrotechnical Society, 2015, 30(12): 307-313.
[12] 王晓剑, 吴广宁, 李先浪, 等. 酸值对变压器油纸绝缘系统回复电压参数影响规律研究[J]. 电力自动化设备, 2013, 33(12): 133-139.
Wang Xiaojian, Wu Guangning, Li Xianlang, et al.Influence of acid value on recovery voltage parameters of transformer oil-paper insulation system[J]. Electric Power Automation Equipment, 2013, 33(12): 133-139.
[13] 张军强, 赵涛, 刘云鹏. 变压器油纸绝缘介质响应等值电路的仿真分析[J]. 绝缘材料, 2013, 46(6): 90-93.
Zhang Junqiang, Zhao Tao, Liu Yunpeng.Equivalent circuit simulation analysis of dielectric response of transformer oil-paper insulation[J]. Insulating Materials, 2013, 46(6): 90-93.
[14] 黄云程, 蔡金锭. 油纸绝缘系统回复电压函数建模及拓扑结构辨识[J].电力自动化设备, 2016, 36(3): 149-153.
Huang Yuncheng, Cai Jinding.Return voltage function modeling and topology recognition of oil- paper insulation system[J]. Electric Power Auto- mation Equipment, 2016, 36(3): 149-153.
[15] 张宁, 蔡金锭. 基于模糊物元-逼近理想点法的油纸绝缘状态评估[J]. 电工技术学报, 2018, 33(22): 5381-5389.
Zhang Ning, Cai Jinding.Evaluation of oil-paper insulation condition based on fuzzy matter element-technique for order preference by similarity to ideal solution method[J]. Transactions of China Electrotechnical Society, 2018, 33(22): 5381-5389.
[16] 丁明, 过羿, 张晶晶, 等. 基于效用风险熵权模糊综合评判的复杂电网节点脆弱性评估[J]. 电工技术学报, 2015, 30(3): 214-223.
Ding Ming, Guo Yi, Zhang Jingjing, et al.Node vulnerability assessment for complex power grids based on effect risk entropy-weighted fuzzy comprehensive evaluation[J]. Transactions of China Electrotechnical Society, 2015, 30(3): 214-223.
[17] 苏秀苹, 杨怡君, 李俊峰, 等. 基于变异系数-模糊评判法的交流接触器动态响应批不确定度的分析与评价[J]. 电工技术学报, 2016, 31(8): 102-108.
Su Xiuping, Yang Yijun, Li Junfeng, et al.Analysis and evaluation of dynamic response lot uncertainty of AC contactor based on coefficient of variance and fuzzy comprehensive theory[J]. Transactions of China Electrotechnical Society, 2016, 31(8): 102-108.
[18] 杨家莉, 徐永海. 基于组合赋权与TOPSIS模型的节点电压暂降严重程度综合评估方法[J]. 电力系统保护与控制, 2017, 45(18): 88-95.
Yang Jiali, Xu Yonghai.Comprehensive evaluation method of node voltage sag severity based on TOPSIS model and combination weights[J]. Power System Protection and Control, 2017, 45(18): 88-95.
[19] 李磊, 赵殿平, 刘亚伟, 等. 基于熵权—双基点法的城市配电网可靠性评估[J]. 东北电力技术, 2017, 38(12): 10-14.
Li Lei, Zhao Dianping, Liu Yawei, et al.Research on reliability assessment of urban distribution network based on entropy-double base point method[J]. Northeast Electric Power Technology, 2017, 38(12): 10-14.