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Quasi-Static Modeling and Optimization of Two-Layer PCB Resonators in Wireless Power Transfer Systems for 110-kV Power Grid Online Monitoring Equipment

  • Yaoran Fang*
  • , Jialong Qu
  • , Bryan Man Hay Pong
  • , Chi Kwan Lee
  • , Ron Shu Yuen Hui
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

The expanding functions of the emerging smart grid have posed new technical challenges on the power supplies for online monitoring systems in the transmission and distribution networks. A recent study has suggested that magnetic energy around the transmission line can be harvested and delivered wirelessly to the monitoring equipment through printed circuit board (PCB) resonators embedded inside an insulation rod. This article presents a rigorous analysis, modeling, and optimization of such PCB resonators. A new closed-form quasi-static model of the PCB resonators is derived. A fully automated simulationdriven optimization framework is constructed to enhance the quality factor of the resonator. Practical measurements show that the optimal design improves the quality factor (Q factor) from 52 to 132 as compared to the existing trial-anderror design. The corresponding wireless power transfer efficiency in a 20-W prototype across a 1.14-m distance improves significantly from 11 to 46%. © 2021 IEEE.
Original languageEnglish
Pages (from-to)1400-1410
JournalIEEE Transactions on Industrial Electronics
Volume69
Issue number2
Online published3 Mar 2021
DOIs
Publication statusPublished - Feb 2022
Externally publishedYes

Funding

This work was supported by the Hong Kong Research Grant Council under a GRF Project 17203517.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Research Keywords

  • Electromagnetoquasi-static (EMQS) modeling
  • power grid
  • printed circuit board (PCB) resonator
  • simulation-driven optimization
  • wireless power transfer (WPT)

RGC Funding Information

  • RGC-funded

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