7 | 0 | 59 |
下载次数 | 被引频次 | 阅读次数 |
针对在用电缆电流谐波检测方法存在的耗时长等不足,提出一种基于电流谐波的多算法评分机制下的电力电缆诊断和寿命分析方法。首先采集目标电缆各次谐波数据,然后基于电缆状态评估专家数据库得出电缆的当前现状,最后将电缆历史数据作为输入量,通过评分机制下表现最优的模型获取电缆的寿命分析结果以及健康度评价。并基于以上分析,搭建电缆诊断和寿命分析管理应用平台,通过在内蒙古电力(集团)有限责任公司某供电分公司的实际应用,验证了所提方法的实用性。
Abstract:In view of the shortcomings of the current harmonic detection method, the author proposes a diagnosis and life analysis method of power cable concerned multi-algorithm scoring mechanism based on current harmonic. First of all, the harmonic data of the target cable is collected, and then the current status of the cable is obtained based on the expert database of cable state evaluation. As the input data, the cable life analysis results and health evaluation are obtained through the model with the best performance under the scoring mechanism. Based on the above analysis, the cable diagnosis and life analysis management platform is established. The application of the platform in a power supply branch of Inner Mongolia Power(Group) Co.,Ltd. verifies the practicability of the proposed method.
[1] 曾莼.基于局放和介损10 kV XLPE电缆绝缘诊断研究[D].武汉:华中科技大学, 2014.
[2] 刘云鹏, 刘贺晨, 高丽娟, 等.电声脉冲法研究热老化对160 kV直流电缆绝缘材料陷阱特性的影响[J].电工技术学报, 2016, 31(24):106-112. LIU Yunpeng, LIU Hechen, GAO Lijuan, et al. Influence of Thermal Stress on the Traps Energy Properties of 160 kV HVDC Cable Insulation Material Based on Pulsed Electro-Acoustic Method[J]. Transactions of China Electrotechnical Society, 2017, 34(4):58-59, 61.
[3] 沈星如, 花旭, 代亚平, 等.主流电缆在线监测方法综述[J].通信电源技术, 2017, 34(4):58-59, 61. SHEN Xingru, HUA Xu, DAI Yaping, et al. Review of Mainstream Cable On-Line Monitoring Methods[J]. Telecom Power Technologies, 2017, 34(4):58-59, 61.
[4] 刘敬华, 欧阳本红, 夏荣, 等.高压XLPE电力.绝缘老化状态评价研究进展[J].电力工程技术, 2021, 40(6):141-149. LIU Jinghua, OUYANG Benhong, XIA Rong, et al. Assessment of the insulation aging state of high voltage XLPE cables[J]. Power engineering technology, 2021, 40(6):141-149.
[5] 金德辉.基于直流分量法的XLPE电缆在线监测系统[D].大连:大连理工大学, 2012.
[6] 王天, 白银浩, 吕中宾, 等.交联聚乙烯电缆绝缘老化试验及其检测技术[J].绝缘材料, 2022, 55(6):6-15. WANG Tian, BAI Yinhao, LYU Zhongbin, et al. Progress in Insulation Ageing Test and Detecting Technology of XLPE Cable[J]. Insulating material, 2022, 55(6):6-15
[7] 刘浩然, 周凯, 王昱皓, 等.基于电磁耦合注入的电力电缆局部缺陷在线定位方法[J].中国电力, 2021, 54(12):177-185, 194. LIU Haoran, ZHOU Kai, WANG Yuhao, et al. An Online Location Method for Local Defects in Power Cables Based on Electro-magnetic Coupling Injection[J]. Electric Power, 2021, 54(12):177-185, 194.
[8] 王治.电力电缆绝缘状态在线监测研究进展[J].机电工程技术, 2021, 50(11):215-219. WANG Zhi. Summary Research on On-line Monitoring of High Voltage Cable Insulation State[J]. Transactions of China Electrotechnical Society, 2021, 50(11):215-219.
[9] 毛永梅, 李鹏程, 李哲君, 等.基于边界值分析法的用电信息采集终端谐波统计试验方法[J].内蒙古电力技术, 2019, 37(4):73-76. MAO Yongmei, LI Pengcheng, LI Zhejun, et al. Harmonic Statistical Test with Power Information Collection Terminal Based on Boundary Value Analysis[J]. Inner Mongolia Electric Power, 2019, 37(4):73-76.
[10] 胡婧, 周洋.基于零序电压小波变换的小电流接地系统电缆早期故障检测[J].内蒙古电力技术, 2019, 39(2):1-6. HU Jing, ZHOU Yang. Cable Incipient Fault Detection for Non-Solidly Grounding System Based on Zero Sequence Voltage Wavelet Transform[J]. Inner Mongolia Electric Power, 2019, 39(2):1-6.
[11] 刘英, 张博剑, 高鑫.高压XLPE电缆线路状态评估综合体系的建立及应用[J].高电压技术, 2022, 48(11):4437-4444. LIU Ying, ZHANG Bojian, GAO Xin. Establishment and Application of a Comprehensive System for Condition Assessment of HV XLPE Cable Lines[J]. High Voltage Engineering, 2022, 48(11):4437-4444.
[12] 苗旺, 陈平, 任志刚, 等.电流谐波法在电力电缆状态检测诊断的应用进展[J].电力系统及其自动化学报, 2021, 33(3):73-80. MIAO Wang, CHEN Ping, REN Zhigang, et al. Research Process in Applications of Current Harmonic Analysis to Condition Monitoring and Diagnosis of Power Cable[J]. Proceedings of the CSU-EPSA, 2021, 33(3):73-80.
[13] 郭瑞宙, 王天正, 杨罡, 等.电缆绝缘缺陷与电流谐波成分特性关系分析[J].绝缘材料, 2020, 53(2):102-108. GUO Ruizhou, WANG Tianzheng, YANG Gang, et al. Analysis on Relation Between Cable Insulation Defects and Current Harmonic Component Characteristics[J]. Insulating Material, 2020, 53(2):102-108.
[14] 蒲天骄, 乔骥, 韩笑, 等.人工智能技术在电力设备运维检修中的研究及应用[J].高电压技术, 2020, 46(2):369-383. PU Tianjiao, QIAO JI, HAN Xiao, et al. Research and application of artificial intelligence technology in power equipment operation and maintenance[J]. High Voltage Engineering, 2020, 46(2):369-383.
[15] 郭亮, 李长根, 高宏力, 等.大数据背景下基于特征学习的机械设备剩余寿命预测[J].西南交通大学学报, 2021, 56(4):730-735, 768. GUO Liang, LI Changgen, GAO Hongli, et al. Shoubing. Residual Life Prediction of Mechanical Equipment Based on Feature Learning in Big Data Background[J]. Journal of Southwest Jiaotong University, 2021, 56(4):730-735, 768.
[16] 吕超, 李赫, 王劭, 等.基于0.1 Hz超低频的XLPE电缆介质损耗老化评估[J].内蒙古电力技术, 2021, 39(1):68-71. LYU Chao, LI He, WANG Shao, et al. Evaluation of XLPE Cable Dielectric Loss Aging Based on 0.1 Hz Ultra-Low Frequency[J]. Inner Mongolia Electric Power, 2021, 39(1):68-71.
[17] 康琪, 杨玥.交联聚乙烯电缆局部放电带电检测典型信号提取与图谱分析[J].内蒙古电力技术, 2020, 38(2):22-25. KANG Qi, YANG Yue. Typical Signal Extraction and Spectrum Analysis of XLPE Cable Partial Discharge Live Detection[J]. Inner Mongolia Electric Power, 2020, 38(2):22-25
[18] 程志明.矿用电缆故障诊断系统的设计[J].机电工程技术, 2020, 49(1):180-182. CHENG Zhiming. Design of the Fault Diagnosis System for Mine Cable[J]. Mechanical & Electrical Engineering Technology, 2020, 49(1):180-182.
[19] 李特, 崔竹叶, 曹俊平, 等.高压电缆状态仿真及缺陷诊断平台的构建[J].浙江电力, 2017, 36(9):39-43. LI Te, CUI Zhuye, CAO Junping, et al. Construction of a Condition Simulation and Defect Diagnosis Platform of High Voltage Cable[J]. Zhejiang Electric Power, 2017, 36(9):39-43.
[20] 马骁, 孙荣, 余华兴, 等.基于极化损耗因数变化率的交联聚乙烯高压电缆绝缘老化诊断[J].云南电力技术, 2020, 48(5):51-55. MA Xiao, SUN Rong, YU Huaxing, et al. Insulation Aging Diagnosis of High-Voltage Cables Based on The Dielectric Polarization Loss Factor[J]. Yunnan Electric Power, 2020, 48(5):51-55.
[21] 国家技术监督局.电能质量公用电网谐波:GB/T 14549-1993[S].北京:中国电力出版社, 1993.
[22] 高博.用于电气设备的谐波诊断方法:ZL200480003728.4[P].[2008-12-17]
[23] 赵世纯,周林,屈洪亮,等. 电气设备谐波智能传感器:ZL209911453[P].[2020-01-07]
基本信息:
DOI:10.19929/j.cnki.nmgdljs.2023.0042
中图分类号:
引用信息:
[1]贾俊青1,李磊2,吕超1等.基于电流谐波的电力电缆状态诊断和寿命分析方法[J].内蒙古电力技术,2023(03):72-77.DOI:10.19929/j.cnki.nmgdljs.2023.0042.
基金信息:
内蒙古电力(集团)有限责任公司科技项目“基于电流谐波检测的电力电缆状态诊断和寿命分析技术研”(2022-27)