PMU Data-based Temperature Monitoring of a Power Cable

被引:0
|
作者
Singh, Ravi Shankar [1 ]
Cobben, Sjef [1 ]
van den Brom, Helko [2 ]
Rietveld, Gert [2 ]
机构
[1] Eindhoven Univ Technol, Eindhoven, Netherlands
[2] VSL, Delft, Netherlands
关键词
Cable Monitoring; Dynamic Loading Limits; Dynamic Line Rating; PMU; Flexible Cable Loading;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Optimized generation and delivery of electricity has become a key to efficient grid operation. Considering the thermal limits of the cables used in electricity grid, maximal yet safe loading of available cable infrastructure would become critical to optimal operation of a network. Flexible loading limits for important cable sections transporting bulk generated power from intermittent renewable sources or delivering time-varying power to load centers would maximize the utilization of available resources in terms of cable infrastructure and generation capacity. This paper presents an application to estimate and track the temperature of 3-phase cable conductors utilizing real-time high-accuracy impedance estimates. The real-time temperature estimates are then used for setting flexible loading limits. The backbone of the temperature estimation process are the accurate impedance parameters which are estimated using data from phasor measurement units (PMUs) present at both ends of the cable section. The novelty of this application is that no additional temperature sensors are required to monitor the cable temperature. Flexible loading based on the thermal state of the cable and ambient conditions can be realized. Cable temperature monitoring results obtained using field PMU data from a medium voltage (MV) distribution grid section are presented.
引用
收藏
页数:5
相关论文
共 50 条
  • [21] Ozone measurements monitoring using data-based approach
    Harrou, Fouzi
    Kadri, Farid
    Khadraoui, Sofiane
    Sun, Ying
    PROCESS SAFETY AND ENVIRONMENTAL PROTECTION, 2016, 100 : 220 - 231
  • [22] Temperature and Strain Online Monitoring System of Power Cable Based on Fiber Bragg Grating
    Guo, Wei
    Li, Yongqian
    2008 4TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-31, 2008, : 5201 - 5204
  • [23] Big Data-based Network Forum Hotspot Monitoring
    Lian, Songyao
    Guo, Zhongwei
    Zhu, Wenjian
    Cao, Huiru
    PROCEEDINGS OF 2019 IEEE 8TH JOINT INTERNATIONAL INFORMATION TECHNOLOGY AND ARTIFICIAL INTELLIGENCE CONFERENCE (ITAIC 2019), 2019, : 1121 - 1124
  • [24] Design of On-line Temperature Monitoring System for Power Cable Joints Based on Supercapacitor
    Meng Xianbo
    Hu Xiaoguang
    2012 10TH IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN), 2012, : 837 - 840
  • [25] Relationship of Cable Tension and Temperature Based on Long-term Monitoring Data on the Cable-stayed Bridge
    Wang, Xiuyong
    Chen, Maosheng
    Sun, Hongxin
    Yang, Qi
    PROGRESS IN INDUSTRIAL AND CIVIL ENGINEERING II, PTS 1-4, 2013, 405-408 : 1716 - +
  • [26] Review of Recent Research on Data-Based Process Monitoring
    Ge, Zhiqiang
    Song, Zhihuan
    Gao, Furong
    INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2013, 52 (10) : 3543 - 3562
  • [27] Data-Based Control and Process Monitoring with Industrial Applications
    Yin, Shen
    Gao, Huijun
    Ding, Steven
    Wang, Zhuo
    IET CONTROL THEORY AND APPLICATIONS, 2015, 9 (07): : 997 - 999
  • [28] Online Static Voltage Stability Monitoring for Power Systems Using PMU Data
    Pan, Jianhong
    Dong, Aidi
    Fan, Jiashu
    Li, Yang
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2020, 2020
  • [29] The Correlative Analysis of Temperature and Stress based on Monitoring Data on the Cable-stayed Bridge
    Wang, Xiuyong
    Lei, Wanglong
    Yang, Yi
    Yang, Qi
    Sun, Hongxin
    ADVANCES IN CIVIL ENGINEERING II, PTS 1-4, 2013, 256-259 : 1509 - +
  • [30] Strongly robust approach for temperature monitoring of power cable joint
    Tang, Liezheng
    Ruan, Jiangjun
    Qiu, Zhibin
    Liu, Chao
    Tang, Ke
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2019, 13 (08) : 1324 - 1331