Hierarchical Assessment Method of Transformer Condition Based on Weight-Varying Grey Cloud Model
Du Jiang1,2, Sun Mingyang1,2
1. State Key Laboratory of Reliability and Intelligence of Electrical Equipment Hebei University of Technology Tianjin 300130 China; 2. Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability of Hebei Province Hebei University of Technology Tianjin 300130 China
Abstract In order to objectively and scientifically evaluate the transformer condition, a hierarchical index system for transformer condition evaluation was established, and a hierarchical assessment method for transformer condition based on weight-varying grey cloud model was proposed. Firstly, the cloud model was used to improve traditional whitening weight function to build grey cloud model. Compared with the traditional grey clustering whitening weight function, the grey cloud model could effectively reflect fuzziness, greyness and randomness for information of evaluation level. To better reflect the uncertainty of the transformer status information, the cloud correlation was calculated using index cloud model instead of index value. Then, the condition of transformer fault layer was obtained by association rules and grey cloud clustering. The overall condition of transformer was obtained by weight-varying fusion. To acquire the final evaluation result, the condition of transformer fault layer and the overall condition were considered comprehensively. Finally, the case studies verified that the proposed method is effective and superior.
Du Jiang,Sun Mingyang. Hierarchical Assessment Method of Transformer Condition Based on Weight-Varying Grey Cloud Model[J]. Transactions of China Electrotechnical Society, 2020, 35(20): 4306-4316.
[1] 李秀广, 李军浩, 吴旭涛, 等. 不同冲击电压下变压器油击穿特性研究[J]. 电机与控制学报, 2018, 22(3): 82-87, 94. Li Xiuguang, Li Junhao, Wu Xutao, et al.Research on the breakdown characteristics of transformer oil under oscillatory impulse voltage[J]. Electric Machines and Control, 2018, 22(3): 82-87, 94. [2] 邹阳, 何倩玲, 蔡金锭. 基于组合赋权-双基点法的变压器油纸绝缘状态综合评估[J]. 电工技术学报, 2019, 34(20): 4400-4408. 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. [3] 刘志文, 董旭柱, 吴争荣, 等. 考虑灵活定义约束的配电网检修计划双层优化方法[J]. 电工技术学报, 2018, 33(10): 2208-2216. Liu Zhiwen, Dong Xuzhu, Wu Zhengrong, et al.A bi-level optimization method for distribution network maintenance schedule considering flexible definition- constraint condition[J]. Transactions of China Elec- trotechnical Society, 2018, 33(10): 2208-2216. [4] 张晶晶, 许修乐, 丁明, 等. 基于模糊层次分析法的变压器状态评估[J]. 电力系统保护与控制, 2017, 45(3): 75-81. Zhang Jingjing, Xu Xiule, Ding Ming, et al.A condition assessment method of power transformers based on fuzzy analytic hierarchy process[J]. Power System Protection and Control, 2017, 45(3): 75-81. [5] 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. [6] Song Renjie, Liu Ruiying, Ma Dongmei.Hierarchy evaluation method for power transformer condition based on fuzzy and grey clustering analysis[J]. ICIC Express Letters, Part B: Applications, 2017, 8(1): 19-26. [7] 刘庆珍, 张晓燕, 蔡金锭. 基于降维技术与K- means聚类的油纸绝缘状态综合灰评估[J]. 电力系统保护与控制, 2019, 47(8): 62-70. Liu Qingzhen, Zhang Xiaoyan, Cai Jinding.Com- prehensive grey evaluation for oil-paper insulation based on dimension reduction techniques and K- means cluster[J]. Power System Protection and Control, 2019, 47(8): 62-70. [8] 宋人杰, 刘瑞英, 王林. 灰色定权聚类和变权模式在变压器状态评估中的应用研究[J]. 电工电能新技术, 2017, 36(3): 75-80. Song Renjie, Liu Ruiying, Wang Lin.Application of grey fixed weight clustering and variable weight model in transformer condition evaluation[J]. Advanced Technology of Electrical Engineering and Energy, 2017, 36(3): 75-80. [9] 谢龙君, 李黎, 程勇, 等. 融合集对分析和关联规则的变压器故障诊断方法[J]. 中国电机工程学报, 2015, 35(2): 277-286. Xie Longjun, Li Li, Cheng Yong, et al.A fault diagnosis method of power transformers by integr- ated set pair analysis and association rules[J]. Proceedings of the CSEE, 2015, 35(2): 277-286. [10] 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 Electro- technical Society, 2018, 33(22): 5381-5389. [11] 蔡金锭, 叶荣, 刘庆珍. 基于改进TOPSIS和时域特征量的油纸绝缘状态分类分级评估[J]. 电机与控制学报, 2020, 24(1): 86-94. Cai Jinding, Ye Rong, Liu Qingzhen.Oil-paper insulation classification and grading assessment based on improved TOPSIS and time-domain characteristic parameters[J]. Electric Machines and Control, 2020, 24(1): 86-94. [12] 张镱议, 廖瑞金, 杨丽君, 等. 基于云理论的电力变压器绝缘状态评估方法[J]. 电工技术学报, 2012, 27(5): 13-20. Zhang Yiyi, Liao Ruijin, Yang Lijun, et al.An assessment method for insulation condition of power transformer based upon cloud model[J]. Transactions of China Electrotechnical Society, 2012, 27(5): 13-20. [13] 孙睿. 配网变压器运行状态评估的云模型研究[J]. 电气技术, 2018, 19(2): 84-86, 91. Sun Rui.Study on cloud model of network transformer operation state evaluation[J]. Electrical Engineering, 2018, 19(2): 84-86, 91. [14] 刘云鹏, 许自强, 付浩川, 等. 采用最优云熵改进可拓云理论的变压器本体绝缘状态评估方法[J]. 高电压技术, 2020, 46(2): 397-405. Liu Yunpeng, Xu Ziqiang, Fu Haochuan, et al.Insulation condition assessment method of power transformer based on improved extension cloud theory with optimal cloud entropy[J]. High Voltage Engineering, 2020, 46(2): 397-405. [15] 何怡刚, 陈铭, 张大波, 等. 基于古林法和层次可拓的变压器状态评估[J]. 电力系统保护与控制, 2018, 46(21): 38-44. He Yigang, Chen Ming, Zhang Dabo, et al.Trans- former condition assessment based on A. J. Klee method and extension hierarchy[J]. Power System Protection and Control, 2018, 46(21): 38-44. [16] 国家电网公司. 油浸式变压器(电抗器)状态评价导则Q/GDW 10169—2016[S]. 北京: 中国电力出版社, 2017. [17] Li Lee, Xie Longjun, Zhang Deng, et al.Condition assessment of power transformers using a synthetic analysis method based on association rule and variable weight coefficients[J]. IEEE Transactions on Dielectrics and Electrical Insulation, 2013, 20(6): 2052-2060. [18] 杨德友, 崔冬晓, 蔡国伟. 基于云智能控制器的燃料电池最大功率跟踪策略[J]. 电工技术学报, 2018, 33(14): 3362-3370. Yang Deyou, Cui Dongxiao, Cai Guowei, et al.A maximum power point tracking technology for fuel cells using cloud model based intelligent controller[J]. Transactions of China Electrotechnical Society, 2018, 33(14): 3362-3370. [19] 贾清泉, 艾丽, 董海艳, 等. 考虑不确定性的电压暂降不兼容度和影响度评价指标及方法[J]. 电工技术学报, 2017, 32(1): 48-57. Jia Qingquan, Ai Li, Dong Haiyan, et al.Uncertainty description and assessment of incompatibility & influence index for voltage sags[J]. Transactions of China Electrotechnical Society, 2017, 32(1): 48-57. [20] 阎洁, 李宁, 刘永前, 等. 短期风电功率动态云模型不确定性预测方法[J]. 电力系统自动化, 2019, 43(3): 17-23. Yan Jie, Li Ning, Liu Yongqian, et al.Short-term uncertainty forecasting method for wind power based on real-time switching cloud model[J]. Automation of Electric Power Systems, 2019, 43(3): 17-23. [21] 刘敦楠, 张潜, 李霄彤, 等. 基于云模型与模糊Petri网的电力市场潜在危害行为识别[J]. 电力系统自动化, 2019, 43(2): 25-37. Liu Dunnan, Zhang Qian, Li Xiaotong, et al.Identification of potential harmful behaviors in electricity market based on cloud model and fuzzy Petri net[J]. Automation of Electric Power Systems, 2019, 43(2): 25-37. [22] 夏鹏, 刘文颖, 张尧翔, 等. 考虑风电高阶不确定性的分布式鲁棒优化调度模型[J]. 电工技术学报, 2020, 35(1): 189-200. Xia Peng, Liu Wenying, Zhang Yaoxiang, et al.A distributionally robust optimization scheduling model considering higher-order uncertainty of wind power[J]. Transactions of China Electrotechnical Society, 2020, 35(1): 189-200. [23] 张银燕, 李弼程. 基于MIN-MAX云重心推理的目标威胁评估方法[J]. 系统仿真学报, 2014, 26(2): 411-418. Zhang Yinyan, Li Bicheng.Method of target threat assessment based on cloudy MIN-MAX center of gravity reasoning[J]. Journal of System Simulation, 2014, 26(2): 411-418. [24] 杨哲, 杨侃, 刘朗, 等. 组合赋权模糊熵-灰云聚类二维河流健康评价[J]. 华中科技大学学报: 自然科学版, 2018, 46(5): 90-94. Yang Zhe, Yang Kan, Liu Lang, et al.Two dimensional river health evaluation based on fuzzy entropy-gray cloud clustering and combination weighting method[J]. Journal of Huazhong University of Science and Technology: Nature Science Edition, 2018, 46(5): 90-94. [25] 梁永亮, 李可军, 牛林, 等. 变压器状态评估多层次不确定模型[J]. 电力系统自动化, 2013, 37(22): 73-78. Liang Yongliang, Li Kejun, Niu Lin, et al.A multilayer uncertain transformer condition assessment model[J]. Automation of Electric Power Systems, 2013, 37(22): 73-78. [26] Shen Hongtao, Tao Peng, Zhao Pei, et al.Massive power device condition monitoring data feature extraction and clustering analysis using MapReduce and graph model[J]. CES Transactions on Electrical Machines and Systems, 2019, 3(2): 221-230. [27] 祝顺才, 蔡金锭, 王岭. 基于变权-模糊综合评判法的绝缘状态诊断研究[J]. 电气技术, 2017, 18(4): 16-21. Zhu Shuncai, Cai Jinding, Wang Ling.Study on insulation condition diagnosis based on the variable weight-fuzzy comprehensive evaluation method[J]. Electrical Engineering, 2017, 18(4): 16-21. [28] 谢荣斌, 张登, 林福昌,等. 基于关联规则与变权重的变压器状态评估方法[J]. 高压电器, 2014, 50(1): 133-138. Xie Rongbin, Zhang Deng, Lin Fuchang, et al.Transformer condition assessment using association rules and variable weight[J]. High Voltage Apparatus, 2014, 50(1): 133-138.
2020, Vol. 35 
