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Analysis of AMI Communication Methods in Various Field Environments

Author

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  • Dong Sik Kim

    (Department of Electronics Engineering, Hankuk University of Foreign Studies, Yongin-si, Gyeonggi-do 17035, Korea)

  • Beom Jin Chung

    (Research Center for Electrical and Information Technology, Seoul National University of Science & Technology, Seoul 01811, Korea)

  • Young Mo Chung

    (Department of Electronics and Information Engineering, Hansung University, Seoul 02876, Korea)

Abstract

In order to construct an efficient on-site communication network for an advanced metering infrastructure (AMI) in Korea, the high-speed power line communication (HS PLC), wireless smart utility network (Wi-SUN), and ZigBee modems are currently being used. In this paper, we first quantitatively analyze the communication performances of HS PLC, Wi-SUN, and ZigBee modems for AMI through both experimental testbeds and practical environment sites. For practical AMI sites, we selected 18 sites with 48 measurement points and classified the sites into five areas, and conducted measurements of signal and noise power spectra on the sites. We then derived linear regression models for received powers according to areas. Through the constructed models, we can efficiently choose an appropriate communication method and plan a methodology for building an AMI network depending on the area type. Furthermore, using the constructed regression models, we provided graphical simulation tools of received powers for both PLC and wireless communication methods based on a distribution information map.

Suggested Citation

  • Dong Sik Kim & Beom Jin Chung & Young Mo Chung, 2020. "Analysis of AMI Communication Methods in Various Field Environments," Energies, MDPI, vol. 13(19), pages 1-30, October.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:19:p:5185-:d:423952
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    References listed on IDEAS

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    1. Sharma, Konark & Mohan Saini, Lalit, 2015. "Performance analysis of smart metering for smart grid: An overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 720-735.
    2. Dong Sik Kim & Beom Jin Chung & Young Mo Chung, 2019. "Statistical Learning for Service Quality Estimation in Broadband PLC AMI," Energies, MDPI, vol. 12(4), pages 1-20, February.
    3. Kabalci, Yasin, 2016. "A survey on smart metering and smart grid communication," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 302-318.
    4. Noelia Uribe-Pérez & Itziar Angulo & David De la Vega & Txetxu Arzuaga & Igor Fernández & Amaia Arrinda, 2017. "Smart Grid Applications for a Practical Implementation of IP over Narrowband Power Line Communications," Energies, MDPI, vol. 10(11), pages 1-16, November.
    5. Jianhua Zhang & Adarsh Hasandka & Jin Wei & S. M. Shafiul Alam & Tarek Elgindy & Anthony R. Florita & Bri-Mathias Hodge, 2018. "Hybrid Communication Architectures for Distributed Smart Grid Applications," Energies, MDPI, vol. 11(4), pages 1-16, April.
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    Cited by:

    1. Dong Sik Kim & Wookyung Jung & Beom Jin Chung, 2021. "Analysis of the Electricity Supply Contracts for Medium-Voltage Apartments in the Republic of Korea," Energies, MDPI, vol. 14(2), pages 1-17, January.
    2. Natthanan Tangsunantham & Chaiyod Pirak, 2022. "Experimental Performance Analysis of Wi-SUN Channel Modelling Applied to Smart Grid Applications," Energies, MDPI, vol. 15(7), pages 1-15, March.

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