基于特高频无线传感阵列的新型局部放电定位方法
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  • 英文篇名:Novel Localization Method for Partial Discharge Based on Utral-high Frequency Wireless Sensor Array
  • 作者:李臻 ; 罗林根 ; 陈敬德 ; 徐鹏 ; 盛戈皞 ; 江秀臣
  • 英文作者:LI Zhen;LUO Lingen;CHEN Jinde;XU Peng;SHENG Gehao;JIANG Xiuchen;Department of Electrical Engineering, Shanghai Jiao Tong University;Electric Power Research Institute of Shanghai Power Grid Corporation;
  • 关键词:局部放电 ; 定位 ; 特高频 ; 无线传感阵列 ; RSSI指纹 ; 压缩感知
  • 英文关键词:partial discharge;;localization;;UHF;;wireless sensor array;;RSSI fingerprint;;compressed sensing
  • 中文刊名:GDYJ
  • 英文刊名:High Voltage Engineering
  • 机构:上海交通大学电气工程系;国网上海市电力公司电力科学研究院;
  • 出版日期:2019-02-20 16:42
  • 出版单位:高电压技术
  • 年:2019
  • 期:v.45;No.315
  • 基金:国家自然科学基金(51477100);; 2016年国网公司科技项目(基于特高频无线传感技术的变电站局放在线监测和定位关键技术研究)~~
  • 语种:中文;
  • 页:GDYJ201902009
  • 页数:8
  • CN:02
  • ISSN:42-1239/TM
  • 分类号:88-95
摘要
局部放电(partial discharge, PD)有效定位有助于快速检测变电站中电力设备的绝缘劣化,提高检修效率。传统的特高频局部放电定位系统主要基于时差法,但超高采样率带来的硬件开销限制了其推广应用。为此提出了基于特高频无线传感阵列和的接收信号强度(received signal strength indicator, RSSI)指纹法的新型局部放电定位方法。从实用化角度论文还重点讨论了局部放电强度的随机性、多源局部放电干扰以及RSSI指纹图更新这3个问题,并分别提出了归一化算法、聚类算法以及压缩感知算法加以解决。变电站现场测试表明,所提方法的平均定位误差为1.86 m,62.1%的误差小于2 m,验证了所提局部放电定位方法的可行性和有效性。
        Effective partial discharge(PD) localization can realize quick detection of the insulation problems of power equipment in substation and improve the maintenance efficiency. The traditional utral-high frequency(UHF) PD localization systems are mainly based on the time-difference information. However, the hardware overhead caused by the ultra-high sampling rate limits their promotion and application. Consequently, we proposed a novel PD localization method based on UHF wireless sensor array and received-signal-strength-indicator(RSSI) fingerprint localization technology. Three significant practical application problems of the proposed method including the randomness of PD strength, the PD interference, and the RSSI fingerprint update were also discussed from the practical point of view, and they were solved by a normalization method, clustering algorithm and compressed sensing algorithm, respectively. A field test in the substation shows that, the mean localization error of the proposed system is 1.86 m, and the 62.1% localization errors are less than 2 m, verifying the feasibility and effectiveness of the proposed PD localization method.
引文
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