LAPSE:2023.26815
Published Article
LAPSE:2023.26815
Analysis of AMI Communication Methods in Various Field Environments
April 3, 2023
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.
Keywords
advanced metering infrastructure (AMI), linear regression analysis, power line communication (PLC), wireless communication
Suggested Citation
Kim DS, Chung BJ, Chung YM. Analysis of AMI Communication Methods in Various Field Environments. (2023). LAPSE:2023.26815
Author Affiliations
Kim DS: Department of Electronics Engineering, Hankuk University of Foreign Studies, Yongin-si, Gyeonggi-do 17035, Korea [ORCID]
Chung BJ: Research Center for Electrical and Information Technology, Seoul National University of Science & Technology, Seoul 01811, Korea [ORCID]
Chung YM: Department of Electronics and Information Engineering, Hansung University, Seoul 02876, Korea [ORCID]
Journal Name
Energies
Volume
13
Issue
19
Article Number
E5185
Year
2020
Publication Date
2020-10-05
ISSN
1996-1073
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PII: en13195185, Publication Type: Journal Article
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LAPSE:2023.26815
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https://doi.org/10.3390/en13195185
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