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The prediction of network efficiency in the smart grid

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Abstract

AMI is the core infrastructure of a smart grid and it is expected to be used for many industrial fields. The components of AMI generally include a smart meter, DCU, and MDMS. In such a system, the smart meter measures power consumption and DCU collects information from smart meters and send their data to MDMS. The MDMS is an end server to get information of the power usage and store its log and data. Since there are a lot of devices such as smart meters and DCUs in AMI, it is important to maintain the suitable number of them. In particular, it is necessary to calculate the proper number of DCUs for efficient management of AMI. In this paper, we suggest a way to predict the proper number of DCUs and this proposed method is useful to predict the total performance of heterogeneous AMI. The simulation results show that AMI is greatly influenced by the difference of performance between DCUs in the heterogeneous AMI.

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Author information

Authors and Affiliations

  1. Dept. of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, Korea

    Sung-Min Jung

  2. Dept. of Liberal Art, Seoul Theological University, Seoul, Korea

    Tae-Kyung Kim

  3. Dept. of Computer Engineering, Korea University of Technology and Education, Cheonan, Korea

    Hee-Suk Seo

  4. Dept. of Architecture Engineering, Korea University of Technology and Education, Cheonan, Korea

    Seung-Jae Lee

  5. Dept. of Information Security Engineering, Soonchunhyang University, Asan, Korea

    Jin Kwak

Authors
  1. Sung-Min Jung
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  2. Tae-Kyung Kim
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  3. Hee-Suk Seo
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  4. Seung-Jae Lee
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  5. Jin Kwak
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Corresponding author

Correspondence to Jin Kwak.

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Jung, SM., Kim, TK., Seo, HS. et al. The prediction of network efficiency in the smart grid. Electron Commer Res 13, 347–356 (2013). https://doi.org/10.1007/s10660-013-9124-1

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  • DOI: https://doi.org/10.1007/s10660-013-9124-1

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