IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i6p1561-d515288.html
   My bibliography  Save this article

Time-Multiplexed Self-Powered Wireless Current Sensor for Power Transmission Lines

Author

Listed:
  • Hao Chen

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

  • Zhongnan Qian

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

  • Chengyin Liu

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

  • Jiande Wu

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

  • Wuhua Li

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

  • Xiangning He

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

Abstract

Current measurement is a key part of the monitoring system for power transmission lines. Compared with the conventional current sensor, the distributed, self-powered and contactless current sensor has great advantages of safety and reliability. By integrating the current sensing function and the energy harvesting function of current transformer (CT), a time-multiplexed self-powered wireless sensor that can measure the power transmission line current is presented in this paper. Two operating modes of CT, including current sensing mode and energy harvesting mode, are analyzed in detail. Through the design of mode-switching circuit, harvesting circuit and measurement circuit are isolated using only one CT secondary coil, which eliminates the interference between energy harvesting and current measurement. Thus, the accurate measurement in the current sensing mode and the maximum energy collection in the energy harvesting mode are both realized, all of which simplify the online power transmission line monitoring. The designed time-multiplexed working mode allows the sensor to work at a lower transmission line current, at the expense of a lower working frequency. Finally, the proposed sensor is verified by experiments.

Suggested Citation

  • Hao Chen & Zhongnan Qian & Chengyin Liu & Jiande Wu & Wuhua Li & Xiangning He, 2021. "Time-Multiplexed Self-Powered Wireless Current Sensor for Power Transmission Lines," Energies, MDPI, vol. 14(6), pages 1-15, March.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:6:p:1561-:d:515288
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/6/1561/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/14/6/1561/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Krieger, Elena M. & Cannarella, John & Arnold, Craig B., 2013. "A comparison of lead-acid and lithium-based battery behavior and capacity fade in off-grid renewable charging applications," Energy, Elsevier, vol. 60(C), pages 492-500.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Nikolay Lysov & Alexander Temnikov & Leonid Chernensky & Alexander Orlov & Olga Belova & Tatiana Kivshar & Dmitry Kovalev & Vadim Voevodin, 2021. "Artificial Negative Polarity Thunderstorm Cell Modeling of Nearby Incomplete Upward Discharges’ Influence on Elements of Monitoring Systems for Air Transmission Lines," Energies, MDPI, vol. 14(21), pages 1-17, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cai, Yishan & Yang, Lin & Deng, Zhongwei & Zhao, Xiaowei & Deng, Hao, 2018. "Online identification of lithium-ion battery state-of-health based on fast wavelet transform and cross D-Markov machine," Energy, Elsevier, vol. 147(C), pages 621-635.
    2. Ghorbanzadeh, Milad & Astaneh, Majid & Golzar, Farzin, 2019. "Long-term degradation based analysis for lithium-ion batteries in off-grid wind-battery renewable energy systems," Energy, Elsevier, vol. 166(C), pages 1194-1206.
    3. Banguero, Edison & Correcher, Antonio & Pérez-Navarro, Ángel & García, Emilio & Aristizabal, Andrés, 2020. "Diagnosis of a battery energy storage system based on principal component analysis," Renewable Energy, Elsevier, vol. 146(C), pages 2438-2449.
    4. Xu, Ying & Ren, Li & Zhang, Zhongping & Tang, Yuejin & Shi, Jing & Xu, Chen & Li, Jingdong & Pu, Dongsheng & Wang, Zhuang & Liu, Huajun & Chen, Lei, 2018. "Analysis of the loss and thermal characteristics of a SMES (Superconducting Magnetic Energy Storage) magnet with three practical operating conditions," Energy, Elsevier, vol. 143(C), pages 372-384.
    5. Wang, Chengshan & Liu, Yixin & Li, Xialin & Guo, Li & Qiao, Lei & Lu, Hai, 2016. "Energy management system for stand-alone diesel-wind-biomass microgrid with energy storage system," Energy, Elsevier, vol. 97(C), pages 90-104.
    6. Abdel-Monem, Mohamed & Trad, Khiem & Omar, Noshin & Hegazy, Omar & Van den Bossche, Peter & Van Mierlo, Joeri, 2017. "Influence analysis of static and dynamic fast-charging current profiles on ageing performance of commercial lithium-ion batteries," Energy, Elsevier, vol. 120(C), pages 179-191.
    7. Iván Sanz-Gorrachategui & Carlos Bernal Ruiz & Estanis Oyarbide Usabiaga & Antonio Bono Nuez & Sergio Jesús Artal Sevil & Erik Garayalde Pérez & Iosu Aizpuru Larrañaga & Jose María Canales Segade, 2019. "Partial State-of-Charge Mitigation in Standalone Photovoltaic Hybrid Storage Systems," Energies, MDPI, vol. 12(22), pages 1-20, November.
    8. Freitas Gomes, Icaro Silvestre & Perez, Yannick & Suomalainen, Emilia, 2020. "Coupling small batteries and PV generation: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 126(C).
    9. Andrew Swingler & Jordan Torrealba, 2019. "Opportunity for Improving Lead-Acid Battery Management of Photovoltaic-Genset-Battery Hybrid Power Systems Based on Measured Field Data," Energies, MDPI, vol. 12(12), pages 1-15, June.
    10. Goh, Taedong & Park, Minjun & Seo, Minhwan & Kim, Jun Gu & Kim, Sang Woo, 2018. "Successive-approximation algorithm for estimating capacity of Li-ion batteries," Energy, Elsevier, vol. 159(C), pages 61-73.
    11. Ahmed, Eihab E.E. & Demirci, Alpaslan, 2022. "Multi-stage and multi-objective optimization for optimal sizing of stand-alone photovoltaic water pumping systems," Energy, Elsevier, vol. 252(C).
    12. Hu, Xiaosong & Li, Shengbo Eben & Jia, Zhenzhong & Egardt, Bo, 2014. "Enhanced sample entropy-based health management of Li-ion battery for electrified vehicles," Energy, Elsevier, vol. 64(C), pages 953-960.
    13. Miguel H. Fernandez-Fuentes & Andrea A. Eras-Almeida & Miguel A. Egido-Aguilera, 2021. "Characterization of Technological Innovations in Photovoltaic Rural Electrification, Based on the Experiences of Bolivia, Peru, and Argentina: Third Generation Solar Home Systems," Sustainability, MDPI, vol. 13(6), pages 1-23, March.
    14. Badrinarayanan, Rajagopalan & Tseng, King Jet & Soong, Boon Hee & Wei, Zhongbao, 2017. "Modelling and control of vanadium redox flow battery for profile based charging applications," Energy, Elsevier, vol. 141(C), pages 1479-1488.
    15. Galeotti, Matteo & Cinà, Lucio & Giammanco, Corrado & Cordiner, Stefano & Di Carlo, Aldo, 2015. "Performance analysis and SOH (state of health) evaluation of lithium polymer batteries through electrochemical impedance spectroscopy," Energy, Elsevier, vol. 89(C), pages 678-686.
    16. Bazinski, S.J. & Wang, X. & Sangeorzan, B.P. & Guessous, L., 2016. "Measuring and assessing the effective in-plane thermal conductivity of lithium iron phosphate pouch cells," Energy, Elsevier, vol. 114(C), pages 1085-1092.
    17. Yang, Yuqing & Bremner, Stephen & Menictas, Chris & Kay, Merlinde, 2022. "Modelling and optimal energy management for battery energy storage systems in renewable energy systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    18. Ma, Tao & Yang, Hongxing & Lu, Lin & Peng, Jinqing, 2015. "Pumped storage-based standalone photovoltaic power generation system: Modeling and techno-economic optimization," Applied Energy, Elsevier, vol. 137(C), pages 649-659.
    19. Li, Jianwei & Gee, Anthony M. & Zhang, Min & Yuan, Weijia, 2015. "Analysis of battery lifetime extension in a SMES-battery hybrid energy storage system using a novel battery lifetime model," Energy, Elsevier, vol. 86(C), pages 175-185.
    20. Li, Jianwei & Wang, Xudong & Zhang, Zhenyu & Le Blond, Simon & Yang, Qingqing & Zhang, Min & Yuan, Weijia, 2017. "Analysis of a new design of the hybrid energy storage system used in the residential m-CHP systems," Applied Energy, Elsevier, vol. 187(C), pages 169-179.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:14:y:2021:i:6:p:1561-:d:515288. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.