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Measurements and Modeling of Noise on 22.9-kV Medium-Voltage Underground Power Line for Broadband Power Line Communication

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Book cover Security-Enriched Urban Computing and Smart Grid (SUComS 2010)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 78))

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Abstract

This paper proposed the measurements and modeling of noise on the 22.9-kV Medium-Voltage (MV) underground power distribution cable for Broadband Power Line Communication (BPLC). The proposed measurement system was composed of inductive coupler and Digital Phosphor Oscilloscope (DPO). The measurement noise data was obtained from thirty-two pad mounted transformers in the test field located in Choji area of Ansan city. After conducting analysis of noise characteristics in time and frequency domain, the noise model are presented. In order to analyze the noise in frequency domain, Power Spectral Density (PSD) was computed with empirical data using Welch’s method. The modeling of the power line noise at each frequency carried out using Cumulative Probability Distribution (CPD) of the noise power. It compared with common Cumulative Distribution Functions (CDF) of Nakagami-m distribution, Gaussian distribution, Gamma distribution. In low frequency range, gamma distribution was fitted with the CPD. Nakagami-m distribution provides a good fitting to the noise CPD above 20MHz frequency range.

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References

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© 2010 Springer-Verlag Berlin Heidelberg

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Lee, S., Shin, D., Kim, Y., Lee, J., Eom, K. (2010). Measurements and Modeling of Noise on 22.9-kV Medium-Voltage Underground Power Line for Broadband Power Line Communication. In: Kim, Th., Stoica, A., Chang, RS. (eds) Security-Enriched Urban Computing and Smart Grid. SUComS 2010. Communications in Computer and Information Science, vol 78. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16444-6_41

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  • DOI: https://doi.org/10.1007/978-3-642-16444-6_41

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16443-9

  • Online ISBN: 978-3-642-16444-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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