[1]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(07):150-157.[doi:10.13296/j.1001-1609.hva.2019.07.022]
 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(07):150-157.[doi:10.13296/j.1001-1609.hva.2019.07.022]
点击复制

基于层次分析法和粗糙集的变压器状态评估研究()
分享到:

《高压电器》[ISSN:1001-1609/CN:61-11271/TM]

卷:
第55卷
期数:
2019年07期
页码:
150-157
栏目:
研究与分析
出版日期:
2019-07-15

文章信息/Info

Title:
Research on Assessment of Transformer State Using Analytic Hierarchy Process and Rough Set Theory
作者:
彭道刚1 陈跃伟1 范俊辉2 钱玉良1
(1. 上海发电过程智能管控工程技术研究中心(上海电力学院自动化工程学院), 上海 200090; 2. 国家电网国网南平供电公司, 福建 南平 353000)
Author(s):
PENG Daogang 1 CHEN Yuewei 1 FAN Junhui2 QIAN Yuliang1
(1. Engineering Research Center of Intelligent Management and Control for Power Process(School of Automation Engineering, Shanghai University of Electric Power), Shanghai 200090, China; 2. State Grid Corporation of Nanping Power Supply Company, Fujian Nanping 353000, China)
关键词:
层次分析法 粗糙集 变压器状态评价 主、客观权重 权值优化组合
Keywords:
analytic hierarchy process method rough set theory assessment of transformer state subjective & objective weight optimized combination weights
DOI:
10.13296/j.1001-1609.hva.2019.07.022
摘要:
针对变压器状态单一评价方法存在的不足和影响变压器性能的状态量错综复杂的特征,建立基于层次分析法和粗糙集的变压器状态评估模型。对变压器部件、状态量进行层次结构划分,借鉴专家经验并以层次分析法求得各部件、状态量的主观权重;结合变压器测试数据,运用粗糙集理论分析出各部件、状态量的客观权重;将主、客观权重进行优化组合,以反映各部件、状态量在变压器综合状态评估的权值。运用该模型对两台不同类型变压器的检修数据进行分析并得出变压器状态评价结果,将该结果与实际变压器检修状况对比,结果表明,此模型具有全面准确地评价变压器状态的能力。
Abstract:
In view of the problems of single transformer condition evaluation method and the complicated factors that affected the performance of transformer, a state assessment method of transformer based on AHP (analytic hierarchy process, AHP) method and rough set theory is proposed. Combined with the experience of experts, the AHP method is used to obtain the subjective weights of the components and state quantities divided by the hierarchical structure; By the test data of transformer, it is adopted to analysis the objective weight of each part and state quantities by rough set theory, the optimized combination weights, which is the combinatorial optimization of subjective and objective weights, reflected in the proportion of the parts, state quantities of the running state of transformers. The model is applied to analyze the maintenance data of two different types of transformers and the results are compared with the actual transformer maintenance status, it has proved that this model has the ability to evaluate the transformer status comprehensively and accurately.

参考文献/References:

[1] 油浸式变压器(电抗器)状态评价导则:Q/GDW 169—2008[S]. 2008. Guide for condition evaluation of oil-immersed power transformers(reactors):Q/GDW 169—2008[S]. 2008.
[2] 输变电设备状态检修试验规程:Q/GDW168—2008[S]. 2008. Regulation of condition-based maintenance & test for electric equipment:Q/GDW168—2008[S].2008.
[3] IEEE guide for diagnostic field testing of electrical power apparatus-Part 1:Oil filled power transformers, regulators and reactors:IEEE Std 62—1995[S]. 1995.
[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 Systems Protection and Control, 2017, 45(3): 75-81.
[5] TEE S J, LIU Q, WANG Z D. Insulation condition ranking of transformers through principal component analysis and analytic hierarchy process[J]. Institution of Engineering and Technology,2017,11(1):110-119.
[6] 刘从法,罗日成,雷春燕,等. 基于AHP灰色定权聚类的电力变压器状态评估[J].电力自动化设备,2013,33(6):104-108. LIU Congfa, LUO Richeng, LEI Chunyan. Power transformer condition assessment based on AHP grey fixed-weight clustering[J]. Electric Power Automation Equipment ,2013,33(6):104-108.
[7] LIN P C, GU J C. Research on transformer condition-based maintenance system using the method of fuzzy comprehensive evaluation[J]. International Scholarly Research&Innovation, 2011,5(8):957-961.
[8] 阮 羚,谢齐家,高胜友,等. 人工神经网络和信息融合技术在变压器状态评估中的应用[J]. 高电压技术, 2014, 40(3): 822-828. RUAN Ling,XIE Qijia,GAO Shengyou, et al. Application of artificial neural network and information fusion technology in power transformer condition assessment[J]. High Voltage Engineering,2014,40(3):822-828.
[9] 田 雨, 张 晗. 基于故障特征隶属函数的电网主设备风险评估方案与研究[J]. 高压电器,2017,53(5):146-153. TIAN Yu, ZHANG Han. Research and application of risk assessment for power equipment based on fault feature membership function[J]. High Voltage Apparatus, 2017, 53(5):146-153.
[10] 谢 松,邹 阳,蔡金锭.基于模糊粗糙集理论的电力变压器油纸绝缘状态评估[J]. 仪表学报,2017, 38(1):190-197. XIE Song, ZOU Yang, CAI Jinding. Assessment of transformer oil-paper insulation status with fuzzy rough set[J]. Chinese Journal of Science Instrument, 2017,38(1): 190-197.
[11] 聊瑞金,孟繁津,周年荣,等. 基于集对分析和证据理论融合的变压器内绝缘状态评估方法[J]. 高电压技术,2014,40(2):474-481. LIAO Ruijin, MENG Fanjin, ZHOU Nianrong, et al. Assessment strategy for inner insulation condition of power transformer based on set-pair analysis and evidential reasoning decision-making[J]. High Voltage Engineering,2014,40(2):474-481.
[12] 吕 衷,周 强,周 琨,等. 基于遗传算法改进极限学习机的变压器故障诊断[J]. 高压电器,2015,51(8):49-53. LYU Zhong, ZHOU Qiang, ZHOU Kun, et al. Fault diagnosis of transformer based on extreme learning machine optimized by genetic algorithm[J]. High Voltage Apparatus,2015,51(8):49-53.
[13] 油浸式变压器(电抗器)状态评价导则:Q/GDW 11-106—2010[S].2010. Guide for condition evaluation of oil-immersed power transformers(reactors):Q/GDW 11-106—2010[S].2010.
[14] 曹建军.基于模糊层次分析法的变压器油纸绝缘状态的综合评价[D]. 成都:西南交通大学,2014. CAO Jianjun. The integrated evaluation of statement of transformer oil-paper insulation based on fuzzy analytic hierarchy process[D]. Chengdu: Southwest Jiaotong University,2014.
[15] POLKOWSKI L, TSUMOTO S, LIN T Y. Rough set methods and applications[M]. New York:Physica-Verlag,2000.
[16] 朱 丽,朱传喜,张小芝. 基于粗糙集的犹豫模糊多属性决策方法[J]. 控制与决策,2014,29(7):1335-1339. ZHU Li, ZHU Chuanxi, ZHANG Xiaozhi. Method for hesitant fuzzy multi-attribute decision making based on rough sets[J]. Control and Decision,2014,29(7):1335-1339.
[17] 李 清,段大鹏,邱武斌,等.基于粗糙集降维理论的GIS超高频局放包络模式识别方法[J]. 高压电器,2012,48(3):6-12. LI Qing, DUAN Dapeng, QIU Wubin, et al. Pattern recognition method of UHF PD envelope signal in GIS based on rough set reduction[J]. High Voltage Apparatus,2012,48(3):6-12.
[18] 张文宇, 马 月, 陈 星, 等. 基于粗糙集与 AHP 结合的属性权重确定方法[J]. 测控技术, 2013, 32(10): 125-128. ZHANG Wenyu, MA Yue, CHEN Xing, et al. Combined with rough set and AHP to determine the attribute weigh[J]. Measurement & Control Technology,2013,32(10): 125-128.
[19] LEE C, 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(1):3404-3412.
[20] 廖瑞金,王 谦,骆思佳,等. 基于模糊综合评价的电力变压器运行状态评估模型[J]. 电力系统自动 化,2008,32(3):70-76. 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 System,2008,32(3):70-76.

备注/Memo

备注/Memo:
彭道刚(1977—),男,博士后,教授,研究方向为发电过程自动化、电力设备状态监测与故障诊断、新能源微电网与能源互联网等。收稿日期:2018-11-25; 修回日期:2019-01-20 基金项目:上海市“科技创新行动计划”社会发展领域项目(16DZ1202500);上海市青年科技英才扬帆计划(16YF1404700);上海市科学技术委员会工程技术研究中心项目资助(14DZ2251100)。 Project Supported by Shanghai Science and Technology Innovation Action Plan Social Development Project(16DZ1202500), Shanghai Youth Science and Technology Talents Sailing Program(16YF1404700), Shanghai Science and Technology Commission Engineering Technology Research Center Project (14DZ2251100).
更新日期/Last Update: 2019-07-15