广东工业大学学报 ›› 2024, Vol. 41 ›› Issue (05): 30-38.doi: 10.12052/gdutxb.230086

• 电气工程 • 上一篇    下一篇

基于变权与区间数–集对分析理论的电缆中间接头状态评估

陈嘉杨, 彭显刚   

  1. 广东工业大学 自动化学院, 广东 广州 510006
  • 收稿日期:2023-06-30 出版日期:2024-09-25 发布日期:2024-06-17
  • 通信作者: 彭显刚(1964-),男,教授,硕士,主要研究方向为电力系统分析,E-mail:epxg@gdut.edu.cn
  • 作者简介:陈嘉杨(1999-),男,硕士研究生,主要研究方向为电力设备在线监测,E-mail:939326117@qq.com
  • 基金资助:
    南方电网公司科技项目(030600KK52210023)

Condition Assessment of Cable Intermediate Joint Based on Variable Weight and Interval Number-set Pair Analysis Theory

Chen Jia-yang, Peng Xian-gang   

  1. School of Automation, Guangdong University of Technology, Guangzhou 510006, China
  • Received:2023-06-30 Online:2024-09-25 Published:2024-06-17

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摘要： 针对电缆接头状态信息以及评估等级边界的动态性和随机性问题，提出基于变权与区间数–集对分析理论的电缆中间接头绝缘状态评估方法。提取电缆接头局部放电特征参数作为状态评估指标，并对指标数据进行区间表示。引入方差和标准差来衡量指标区间数据的波动性，进而赋予指标的客观权重；对于局部放电指标劣化不均衡的问题，综合考虑指标的劣化程度与趋势参数，构建相应的状态变权函数从而得到变权权重。最后应用区间数与集对分析耦合方法，依据最大综合联系期望值确定电缆接头的状态等级。通过对某地10 kV电缆中间接头的在线监测数据进行算例分析，验证了该状态评估方法的有效性和可行性。

关键词: 电缆接头, 区间数, 集对分析, 变权, 状态评估

Abstract: For the randomness and dynamics problem of condition information and evaluation level boundary in the cable joint, an insulation state evaluation method of cable intermediate joint based on variable weight and interval number-set pair analysis theory is proposed. The partial discharge characteristic parameters of cable joint are extracted as the state evaluation index, and the index data are expressed in intervals. The variance and standard deviation are introduced to measure the volatility of the interval data of each index, and then the objective weight of the index is given. For the problem of unbalanced deterioration of partial discharge indicators, the corresponding state variable weight function is constructed to obtain the variable weight by comprehensively considering the deterioration degree and trend parameters of the indicators. Finally, the coupling method of interval number and set pair analysis is applied to obtain the state level of cable joint according to the expectation of comprehensive connection. By analyzing the online monitoring data of a 10 kV cable intermediate joint, the validity and feasibility of the state evaluation method are verified.

Key words: cable joint, interval number, set pair analysis, variable weight, state assessment

中图分类号: 

  • TM41
[1] 罗俊华, 邱毓昌, 杨黎明. 10 kV及以上电力电缆运行故障统计分析[J]. 高电压技术, 2003, 29(6): 14-16.
LUO J H, QIU Y C, YANG L M. Operation fault analysis of cable power cable above 10 kV [J]. High Voltage Engineering, 2003, 29(6): 14-16.
[2] 姜芸, 闵虹, 夏荣, 等. 高压交联电缆接头局部放电的电容耦合法检测及分析[J]. 高电压技术, 2010, 36(8): 2005-2011.
JIANG Y, MIN H, XIA R, et al. Capacitive coupling detection and characteristic analysis of partial discharge in high-voltage XLPE power cable joints [J]. High Voltage Engineering, 2010, 36(8): 2005-2011.
[3] ZHU B, YU X Y, TIAN L G, et al. Insulation monitoring and diagnosis of faults in cross-bonded cables based on the resistive current and sheath current [J]. IEEE Access, 2022, 10(02): 46057-46066.
[4] 揭青松, 杨庆, 崔浩楠, 等. 基于暂态电压传递特性的电缆接头绝缘状态检测方法[J]. 高电压技术, 2022, 48(3): 1124-1132.
JIE Q S, YANG Q, CUI H N, et al. Insulation state detection method of cable joint based on transient voltage transfer characteristics [J]. High Voltage Engineering, 2022, 48(3): 1124-1132.
[5] 瞿科, 张文海, 肖先勇, 等. 基于波形衰减因子的电缆接头绝缘早期故障状态监测[J]. 高电压技术, 2022, 48(1): 318-327.
QU K, ZHANG W H, XIAO X Y, et al. The condition monitoring of cable joint insulation incipient faults based on waveform attenuation factor [J]. High Voltage Engineering, 2022, 48(1): 318-327.
[6] 徐四勤, 黄向前, 杨昆, 等. 基于温度以及运行数据的电缆接头绝缘劣化状态预测[J]. 计算机科学, 2022, 49(10): 132-137.
XU S Q, HUANG X Q, YANG K, et al. Prediction of insulation deterioration degree of cable joints based on temperature and operation data [J]. Computer Science, 2022, 49(10): 132-137.
[7] 王雨萌, 孙长海, 赵树春, 等. 基于改进的 Wasserstein 生成对抗网络和深度残差网络的电缆中间接头局部放电缺陷识别 [J]. 科学技术与工程, 2022, 22(35) : 15650-15658.
WANG Y M, SUN C H, ZHAO S C, et al. Partial discharge pattern recognition of cable joints based on improved wasserstein generative adversarial networks and deep residual networks[J]. Science Technology and Engineering, 2022, 22(35) : 15650-15658.
[8] 李为相. 基于区间数的不确定决策理论与方法研究[D]. 南京: 南京航空航天大学, 2010.
[9] 赵克勤. 集对分析及其初步应用[M]. 杭州: 浙江科学技术出版社, 2000.
[10] 廖瑞金, 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 R J, MENG F J, ZHOU N R, 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.
[11] 宋盛渊, 吴峰, 白皓, 等. 基于区间数-集对分析理论的库岸滑坡易发性评价[J]. 东北大学学报(自然科学版), 2022, 43(2): 251-257.
SONG S Y, WU F, BAI H, et al. Evaluation of reservoir bank landslide susceptibility degree based on interval number and set pair analysis theory [J]. Journal of Northeastern University (Natural Science Edition), 2022, 43(2): 251-257.
[12] 周路遥, 曹俊平, 王少华, 等. 基于多状态量特征及变化规律的高压电缆状态综合评估[J]. 高电压技术, 2019, 45(12): 3954-3963.
ZHOU L Y, CAO J P, WANG S H, et al. Comprehensive state evaluation of high voltage cable based on multi-state variables characteristics and variation law [J]. High Voltage Engineering, 2019, 45(12): 3954-3963.
[13] 曹俊平, 蒋愉宽, 王少华, 等. XLPE电力电缆接头缺陷检测关键技术分析与展望[J]. 高压电器, 2018, 54(7): 87-97.
CAO J P, JIANG Y K, WANG S H, et al. Analysis and prospect of defect detection key technology for XLPE power cable joints [J]. High Voltage Apparatus, 2018, 54(7): 87-97.
[14] 杨欢红, 丁宇涛, 周敬嵩等. 基于最优权重和区间灰数动态灰靶的变压器状态评估[J]. 电力系统保护与控制, 2019, 47(7): 66-74.
YANG H H, DING Y T, ZHOU J S, et al. A condition assessment method of transformers based on optimal weight and dynamic grey target with interval grey number [J]. Power System Protection and Control, 2019, 47(7): 66-74.
[15] 张正. 变权综合模型在电力变压器状态评价中的应用研究[D]. 长沙: 长沙理工大学, 2013.
[16] 李喆, 惠宝军, 徐阳, 等. 10 kV电缆中间接头典型缺陷局部放电发展过程研究[J]. 电线电缆, 2015(5): 5-10.
LI Z, HUI B J, XU Y, et al. Trend of partial discharge behavior for 10 kV cable joint with typical defects [J]. Electric Wire and Cable, 2015(5): 5-10.
[17] 常文治. 电力电缆中间接头典型缺陷局部放电发展过程的研究[D]. 北京: 华北电力大学, 2013.
[18] 赵洪山, 孟航, 王奎, 等. 10 kV电缆接头局部放电趋势分析及预警方法研究[J]. 电测与仪表, 2021: 1-9.
ZHAO H S, MENG H, WANG K, et al. Research on partial discharge trend analysis and early warning method of 10 kV cable connector[J]. Electrical Measurement and Instrumentation, 2021: 1-9.
[1] 蔡前凤； 刘伟； . 带参数的变权综合模型[J]. 广东工业大学学报, 2002, 19(1): 110-114.
[2] 蔡前凤； 刘伟； . 权向量的一般模型与权确定方法的分析[J]. 广东工业大学学报, 2001, 18(3): 92-97.
[3] 胡宝清； 何娟娟； . 区间论域上的区间可拓集及其关联函数[J]. 广东工业大学学报, 2001, 18(1): 48-54.
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