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Investigation of Deterministic, Statistical and Parametric NB-PLC Channel Modeling Techniques for Advanced Metering Infrastructure

Author

Listed:
  • Bilal Masood

    (School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

  • M. Arif Khan

    (School of Computing and Mathematics, Charles Sturt University, Bathurst, NSW 2678, Australia)

  • Sobia Baig

    (Electrical and Computer Engineering Department, COMSATS University Isb- Lahore Campus, Punjab 54000, Pakistan)

  • Guobing Song

    (School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

  • Ateeq Ur Rehman

    (College of Internet of Things Engineering, Hohai University, Changzhou 213022, China
    Department of Electrical Engineering, Government College University, Lahore 54000, Pakistan)

  • Saif Ur Rehman

    (Department of Electrical Engineering, The Superior College, Lahore 54000, Pakistan)

  • Rao M. Asif

    (Department of Electrical Engineering, The Superior College, Lahore 54000, Pakistan)

  • Muhammad Babar Rasheed

    (Department of Electronics and Electrical Systems, The University of Lahore, Lahore, Punjab 54000, Pakistan)

Abstract

This paper is focused on the channel modeling techniques for implementation of narrowband power line communication (NB-PLC) over medium voltage (MV) network for the purpose of advanced metering infrastructure (AMI). Three different types of models, based on deterministic method, statistical method, and network parameters based method are investigated in detail. Transmission line (TL) theory model is used to express the MV network as a two-port network to examine characteristics of sending and receiving NB-PLC signals. Multipath signal propagation model is used to incorporate the effect of multipath signals to determine the NB-PLC transfer function. A Simulink model is proposed which considers the values of MV network to examine the characteristics of NB-PLC signals. Frequency selectivity is also introduced in the impedances to compare variations and characteristics with constant impedances based MV network. A state-of-the-art mechanism for the modeling of capacitive coupling device, and impedances of low voltage (LV) and MV networks is developed. Moreover, a comparative analysis of TL theory and multipath signal propagation models with the proposed Simulink model is presented to validate the performance and accuracy of proposed model. This research work will pave the way to improve the efficiency of next-generation NB-PLC technologies.

Suggested Citation

  • Bilal Masood & M. Arif Khan & Sobia Baig & Guobing Song & Ateeq Ur Rehman & Saif Ur Rehman & Rao M. Asif & Muhammad Babar Rasheed, 2020. "Investigation of Deterministic, Statistical and Parametric NB-PLC Channel Modeling Techniques for Advanced Metering Infrastructure," Energies, MDPI, vol. 13(12), pages 1-20, June.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:12:p:3098-:d:371935
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    References listed on IDEAS

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    1. Masood, Bilal & Baig, Sobia, 2016. "Standardization and deployment scenario of next generation NB-PLC technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 1033-1047.
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    Cited by:

    1. Chandan Swaroop Meena & Ashwani Kumar & Siddharth Jain & Ateeq Ur Rehman & Sachin Mishra & Naveen Kumar Sharma & Mohit Bajaj & Muhammad Shafiq & Elsayed Tag Eldin, 2022. "Innovation in Green Building Sector for Sustainable Future," Energies, MDPI, vol. 15(18), pages 1-16, September.
    2. 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.
    3. Rizwan Tariq & Ibrahim Alhamrouni & Ateeq Ur Rehman & Elsayed Tag Eldin & Muhammad Shafiq & Nivin A. Ghamry & Habib Hamam, 2022. "An Optimized Solution for Fault Detection and Location in Underground Cables Based on Traveling Waves," Energies, MDPI, vol. 15(17), pages 1-19, September.
    4. Bilal Masood & Song Guobing & Jamel Nebhen & Ateeq Ur Rehman & Muhammad Naveed Iqbal & Iftikhar Rasheed & Mohit Bajaj & Muhammad Shafiq & Habib Hamam, 2022. "Investigation and Field Measurements for Demand Side Management Control Technique of Smart Air Conditioners located at Residential, Commercial, and Industrial Sites," Energies, MDPI, vol. 15(7), pages 1-23, March.
    5. Herodotos Herodotou, 2021. "Introduction to the Special Issue on Data-Intensive Computing in Smart Microgrids," Energies, MDPI, vol. 14(9), pages 1-3, May.
    6. Adnan Yousaf & Rao Muhammad Asif & Mustafa Shakir & Ateeq Ur Rehman & Fawaz Alassery & Habib Hamam & Omar Cheikhrouhou, 2021. "A Novel Machine Learning-Based Price Forecasting for Energy Management Systems," Sustainability, MDPI, vol. 13(22), pages 1-26, November.
    7. Adnan Yousaf & Rao Muhammad Asif & Mustafa Shakir & Ateeq Ur Rehman & Mohmmed S. Adrees, 2021. "An Improved Residential Electricity Load Forecasting Using a Machine-Learning-Based Feature Selection Approach and a Proposed Integration Strategy," Sustainability, MDPI, vol. 13(11), pages 1-20, May.
    8. Hina Maqbool & Adnan Yousaf & Rao Muhammad Asif & Ateeq Ur Rehman & Elsayed Tag Eldin & Muhammad Shafiq & Habib Hamam, 2022. "An Optimized Fuzzy Based Control Solution for Frequency Oscillation Reduction in Electric Grids," Energies, MDPI, vol. 15(19), pages 1-21, September.

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    More about this item

    Keywords

    AMI; TL; SG; NB-PLC;
    All these keywords.

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