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Experimental Performance Analysis of Wi-SUN Channel Modelling Applied to Smart Grid Applications

Author

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  • Natthanan Tangsunantham

    (The Sirindhorn International Thai-German Graduate School of Engineering (TGGS), King Mongkut’s University of Technology North Bangkok, 1518 Pracharat 1 Rd. Bangsue, Bangkok 10800, Thailand)

  • Chaiyod Pirak

    (The Sirindhorn International Thai-German Graduate School of Engineering (TGGS), King Mongkut’s University of Technology North Bangkok, 1518 Pracharat 1 Rd. Bangsue, Bangkok 10800, Thailand)

Abstract

The grid operation and communication network are essential for smart grids (SG). Wi-SUN channel modelling is used to evaluate the performance of Wi-SUN smart grid networks, especially in the last-mile communication. In this article, the distribution approximation of the received signal strength for IEEE 802.15.4g Wi-SUN smart grid networks was investigated by using the Rician distribution curve fitting with the accuracy improvement by the biased approximation methodology. Specifically, the Rician distribution curve fitting was applied to the received signal strength indicator (RSSI) measurement data. With the biased approximation method, the Rician K-factor, a non-centrality parameter (r s ), and a scale parameter (σ) are optimized such that the lower value of the root-mean squared error (RMSE) is acheived. The environments for data collection are selected for representing the location of the data concentrator unit (DCU) and the smart meter installation in the residential area. In summary, the experimental results with the channel model parameters are expanded to the whole range of Wi-SUN’s frequency bands and data rates, including 433.92, 443, 448, 923, and 2440 MHz, which are essential for the successful data communication in multiple frequency bands. The biased distribution approximation models have improved the accuracy of the conventional model, by which the root mean-squared error (RMSE) is reduced in the percentage range of 0.47–3.827%. The proposed channel models could be applied to the Wi-SUN channel simulation, smart meter installation, and planning in smart grid networks.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:7:p:2417-:d:779367
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    References listed on IDEAS

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    1. Mina Farmanbar & Kiyan Parham & Øystein Arild & Chunming Rong, 2019. "A Widespread Review of Smart Grids Towards Smart Cities," Energies, MDPI, vol. 12(23), pages 1-18, November.
    2. 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.
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    Cited by:

    1. Natthanan Tangsunantham & Chaiyod Pirak, 2023. "Experimental Performance Analysis of Hardware-Based Link Quality Estimation Modelling Applied to Smart Grid Communications," Energies, MDPI, vol. 16(11), pages 1-20, May.

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