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A Recursive Solution for Power-Transmission Loss in DC-Powered Networks

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  • Sehwan Kim

    (Department of Biomedical Engineering, College of Medicine, Dankook University, 119, Dandae-ro, Dongnam-gu, Cheonan-si, Chungnam 330-714, Korea)

  • Pai H. Chou

    (Department of Electrical Engineering and Computer Science, University of California, Irvine, 3219 Engineering Hall, Irvine, CA 92697-2625, USA)

Abstract

This article presents a recursive solution to the power-transmission loss in DC-powered networks. In such a network, the load cannot be modeled as a fixed equivalent resistance value, since the switching regulator may draw more or less current based on the actual supply voltage to meet the power demand. Although the power-transmission loss itself is simply I2 RL, I, in turn, depends on the load’s supply voltage, which, in turn, depends on I, making it impossible to derive a closed-form solution by classical resistive network analysis in general. The proposed approach is to first derive a closed-form solution to I in the one-node topology using the quadratic formula. Next, we extend our solution to a locally daisy-chained (LDC) network, where the network is readily decomposable into stages, such that the solution combines the closed-form formula for the current stage with the recursive solution for the subsequent stages. We then generalize the LDC topology to trees. In practice, the solution converges quickly after a small number of iterations. It has been validated on real-life networks, such as power over controller area network (PoCAN).

Suggested Citation

  • Sehwan Kim & Pai H. Chou, 2014. "A Recursive Solution for Power-Transmission Loss in DC-Powered Networks," Energies, MDPI, vol. 7(11), pages 1-16, November.
  • Handle: RePEc:gam:jeners:v:7:y:2014:i:11:p:7519-7534:d:42455
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    References listed on IDEAS

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    1. Justo, Jackson John & Mwasilu, Francis & Lee, Ju & Jung, Jin-Woo, 2013. "AC-microgrids versus DC-microgrids with distributed energy resources: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 387-405.
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