IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v10y2017i3p312-d92237.html
   My bibliography  Save this article

A Redundancy Mechanism Design for Hall-Based Electronic Current Transformers

Author

Listed:
  • Kun-Long Chen

    (College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350116, China)

  • Ren-Shuo Wan

    (Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei 106, Taiwan)

  • Yi Guo

    (Department of Mechanical Engineering, University of Texas at Dallas, Richardson, TX 75080, USA)

  • Nanming Chen

    (Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei 106, Taiwan)

  • Wei-Jen Lee

    (Department of Electrical Engineering, University of Texas at Arlington, Arlington, TX 76019, USA)

Abstract

Traditional current transformers (CTs) suffer from DC and AC saturation and remanent magnetization in many industrial applications. Moreover, the drawbacks of traditional CTs, such as closed iron cores, bulky volume, and heavy weight, further limit the development of an intelligent power protection system. In order to compensate for these drawbacks, we proposed a novel current measurement method by using Hall sensors, which is called the Hall-effect current transformer (HCT). The existing commercial Hall sensors are electronic components, so the reliability of the HCT is normally worse than that of the traditional CT. Therefore, our study proposes a redundancy mechanism for the HCT to strengthen its reliability. With multiple sensor modules, the method has the ability to improve the accuracy of the HCT as well. Additionally, the proposed redundancy mechanism monitoring system provides a condition-based maintenance for the HCT. We verify our method with both simulations and an experimental test. The results demonstrate that the proposed HCT with a redundancy mechanism can almost achieve Class 0.2 for measuring CTs according to IEC Standard 60044-8.

Suggested Citation

  • Kun-Long Chen & Ren-Shuo Wan & Yi Guo & Nanming Chen & Wei-Jen Lee, 2017. "A Redundancy Mechanism Design for Hall-Based Electronic Current Transformers," Energies, MDPI, vol. 10(3), pages 1-14, March.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:3:p:312-:d:92237
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/10/3/312/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/10/3/312/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sang-Yun Yun & Chul-Min Chu & Seong-Chul Kwon & Il-Keun Song & Joon-Ho Choi, 2014. "The Development and Empirical Evaluation of the Korean Smart Distribution Management System," Energies, MDPI, vol. 7(3), pages 1-31, March.
    2. Yanshan Yu & Jin Yang & Bin Chen, 2012. "The Smart Grids in China—A Review," Energies, MDPI, vol. 5(5), pages 1-18, May.
    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. Michal Kaczmarek & Artur Szczęsny & Ernest Stano, 2022. "Operation of the Electronic Current Transformer for Transformation of Distorted Current Higher Harmonics," Energies, MDPI, vol. 15(12), pages 1-10, June.
    2. Mengmeng Zhu & Hongda Tang & Zhaolei He & Yaohua Liao & Biao Tang & Qunqun Zhang & Hongchun Shu & Yaqi Deng & Fang Zeng & Pulin Cao, 2023. "Field Test Method and Equivalence Analysis of Delay Characteristics of DC Electronic Current Transformer," Energies, MDPI, vol. 16(15), pages 1-10, July.
    3. Zhenhua Li & Yangang Zheng & Ahmed Abu-Siada & Mengyao Lu & Hongbin Li & Yanchun Xu, 2020. "Online Evaluation for the Accuracy of Electronic Voltage Transformer Based on Recursive Principal Components Analysis," Energies, MDPI, vol. 13(21), pages 1-11, 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. Syed Ali Abbas Kazmi & Muhammad Khuram Shahzad & Akif Zia Khan & Dong Ryeol Shin, 2017. "Smart Distribution Networks: A Review of Modern Distribution Concepts from a Planning Perspective," Energies, MDPI, vol. 10(4), pages 1-47, April.
    2. Shaukat, N. & Khan, B. & Ali, S.M. & Mehmood, C.A. & Khan, J. & Farid, U. & Majid, M. & Anwar, S.M. & Jawad, M. & Ullah, Z., 2018. "A survey on electric vehicle transportation within smart grid system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1329-1349.
    3. Muench, Stefan & Thuss, Sebastian & Guenther, Edeltraud, 2014. "What hampers energy system transformations? The case of smart grids," Energy Policy, Elsevier, vol. 73(C), pages 80-92.
    4. Dileep, G., 2020. "A survey on smart grid technologies and applications," Renewable Energy, Elsevier, vol. 146(C), pages 2589-2625.
    5. Chen, Hsing Hung & Chen, Silu & Lan, Yong, 2016. "Attaining a sustainable competitive advantage in the smart grid industry of China using suitable open innovation intermediaries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 1083-1091.
    6. Zhang, Yao & Chen, Wei & Gao, Weijun, 2017. "A survey on the development status and challenges of smart grids in main driver countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 137-147.
    7. Chan-Hyeok Oh & Seok-Il Go & Joon-Ho Choi & Seon-Ju Ahn & Sang-Yun Yun, 2020. "Voltage Estimation Method for Power Distribution Networks Using High-Precision Measurements," Energies, MDPI, vol. 13(9), pages 1-23, May.
    8. Yazhou Jiang & Chen-Ching Liu & Yin Xu, 2016. "Smart Distribution Systems," Energies, MDPI, vol. 9(4), pages 1-20, April.
    9. Personal, Enrique & Guerrero, Juan Ignacio & Garcia, Antonio & Peña, Manuel & Leon, Carlos, 2014. "Key performance indicators: A useful tool to assess Smart Grid goals," Energy, Elsevier, vol. 76(C), pages 976-988.
    10. Ghadi, Mojtaba Jabbari & Rajabi, Amin & Ghavidel, Sahand & Azizivahed, Ali & Li, Li & Zhang, Jiangfeng, 2019. "From active distribution systems to decentralized microgrids: A review on regulations and planning approaches based on operational factors," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    11. Ji-Song Hong & Gi-Do Sim & Joon-Ho Choi & Seon-Ju Ahn & Sang-Yun Yun, 2020. "Fault Location Method Using Phasor Measurement Units and Short Circuit Analysis for Power Distribution Networks," Energies, MDPI, vol. 13(5), pages 1-23, March.
    12. Seung Wan Kim & Jip Kim & Young Gyu Jin & Yong Tae Yoon, 2016. "Optimal Bidding Strategy for Renewable Microgrid with Active Network Management," Energies, MDPI, vol. 9(1), pages 1-15, January.

    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:10:y:2017:i:3:p:312-:d:92237. 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.