Improved Calibration Method of the Photonic Current Sensor for Monitoring HVDC Networks

被引:0
|
作者
Amiolemen, Alfred [1 ]
Fusiek, Grzegorz [1 ]
Niewczas, Pawel [1 ]
机构
[1] Univ Strathclyde, Dept Elect & Elect Engn, Glasgow G1 1RD, Scotland
关键词
Sensors; HVDC transmission; Calibration; Sensor phenomena and characterization; Voltage measurement; Accuracy; Current measurement; Optical sensors; direct current transformer (DCCT); fiber Bragg grating (FBG); high-voltage direct current (HVDC); low-voltage transducer (LVT); optical current sensor (OCS); piezoelectric transducer (PZT);
D O I
10.1109/LSENS.2024.3441228
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This letter presents an improved calibration method for a novel optical current sensor (OCS) based on the integration of photonic and piezoelectric technologies to facilitate the distributed measurement of current within high-voltage direct current (HVDC) networks. The sensor is designed to fit in an HVDC subsea cable splice to provide remote distributed current measurement for enhanced monitoring and protection of HVDC power cable assets. The prototype transducer comprises a nonlinear amplifier with an enhanced dynamic range to reduce the measurement errors that are dominated by the limitations of the sensor interrogation system at low input signal levels. The improved calibration method incorporates segregated piecewise curve fitting into the sensor calibration characteristic. The experimental results demonstrate the significant reduction of the measurement errors showing the potential of the sensor to comply with the accuracy requirements set by the IEC 61869-14 standard for Class 1 direct current transformer (DCCT) devices.
引用
收藏
页数:4
相关论文
共 50 条
  • [1] Towards the Development of a Photonic Current Sensor for HVDC Networks
    Amiolemen, Alfred
    Fusiek, Grzegorz
    Niewczas, Pawel
    2024 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE, I2MTC 2024, 2024,
  • [2] Online Calibration with Levenberg-Marquardt Method for Water Monitoring Wireless Sensor Networks
    Wang, Bing
    Yang, Guangyong
    Wu, Lijie
    2011 INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION AND INDUSTRIAL APPLICATION (ICIA2011), VOL I, 2011, : 76 - 80
  • [3] Online Calibration with Levenberg-Marquardt Method for Water Monitoring Wireless Sensor Networks
    Wang, Bing
    Yang, Guangyong
    Wu, Lijie
    2010 THE 3RD INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND INDUSTRIAL APPLICATION (PACIIA2010), VOL VI, 2010, : 77 - 81
  • [4] In Situ Blind Calibration of Sensor Networks for Infrastructure Monitoring
    Yang, Anqi
    Wang, Pengjun
    Yang, Huazhong
    IEEE SENSORS JOURNAL, 2021, 21 (21) : 24274 - 24284
  • [5] Improved Calibration Method for Raman Distributed Temperature Sensor
    Oishi, K.
    Umeno, T.
    Takeuchi, N.
    Adachi, S.
    PIERS 2014 GUANGZHOU: PROGRESS IN ELECTROMAGNETICS RESEARCH SYMPOSIUM, 2014, : 1282 - 1285
  • [6] Research on a Method and Mechanism of Ocean Current Sensor Calibration
    Wang, Yong
    Sun, Jinghui
    MATERIALS PROCESSING TECHNOLOGY, PTS 1-4, 2011, 291-294 : 2799 - 2804
  • [7] Outlier-Robust Calibration Method for Sensor Networks
    Dorffer, Clement
    Puigt, Matthieu
    Delmaire, Gilles
    Roussel, Gilles
    2017 IEEE INTERNATIONAL WORKSHOP OF ELECTRONICS, CONTROL, MEASUREMENT, SIGNALS AND THEIR APPLICATION TO MECHATRONICS (ECMSM), 2017,
  • [8] Eddy current sensor networks for aircraft fatigue monitoring
    Goldfine, N
    Zilberstein, V
    Washabaugh, A
    Schlicker, D
    Shay, I
    Grundy, D
    MATERIALS EVALUATION, 2003, 61 (07) : 852 - 859
  • [9] Improved Method for Calibration and Nonlinearity Correction of Microwave Power Sensor
    Rakonjac, Predrag
    Mitrovic, Zoran
    Milanovic, Ivica
    Nikolic, Veljko
    Ilic, Zoran
    Brkljac, Nenko
    TEHNICKI VJESNIK-TECHNICAL GAZETTE, 2022, 29 (02): : 415 - 427
  • [10] A Robust Data Monitoring Method for Sensor Networks
    Turau, Volker
    Weyer, Christoph
    Witt, Matthias
    IT-INFORMATION TECHNOLOGY, 2005, 47 (02): : 63 - 69