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A PLC Channel Model for Home Area Networks

Author

Listed:
  • Xinyu Fang

    (Department of Electrical and Computer Engineering, University of Victoria, P.O. Box 1700, STN CSC, Victoria, BC V8W 2Y2, Canada)

  • Ning Wang

    (School of Information Engineering, Zhengzhou University, Zhengzhou 450001, Henan, China
    National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, Jiangsu, China)

  • Thomas Aaron Gulliver

    (Department of Electrical and Computer Engineering, University of Victoria, P.O. Box 1700, STN CSC, Victoria, BC V8W 2Y2, Canada)

Abstract

Smart meters (SMs) are key components of the smart grid (SG) which gather electricity usage data from residences and businesses. Home area networks (HANs) are used to support two-way communications between SMs and devices within a building such as appliances. This can be implemented using power line communications (PLCs) via home wiring topologies. In this paper, a bottom-up approach is designed and a HAN-PLC channel model is obtained for a split-phase power system which includes branch circuits, an electric panel with circuit breakers and bars, a secondary transformer and the wiring of neighboring residences. A cell division (CD) method is proposed to construct the channel model. Furthermore, arc fault circuit interrupter (AFCI) and ground fault circuit interrupter (GFCI) circuit breaker models are developed. Several HAN-PLC channels are presented and compared with those obtained using existing models.

Suggested Citation

  • Xinyu Fang & Ning Wang & Thomas Aaron Gulliver, 2018. "A PLC Channel Model for Home Area Networks," Energies, MDPI, vol. 11(12), pages 1-20, November.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:12:p:3344-:d:186782
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    References listed on IDEAS

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    1. Sharma, Konark & Saini, Lalit Mohan, 2017. "Power-line communications for smart grid: Progress, challenges, opportunities and status," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 704-751.
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    Cited by:

    1. David S. Ching & Cosmin Safta & Thomas A. Reichardt, 2021. "Sensitivity-Informed Bayesian Inference for Home PLC Network Models with Unknown Parameters," Energies, MDPI, vol. 14(9), pages 1-21, April.

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