This paper presents a new dual-frequency wireless energy router and its enhanced performance of selective power transfer by frequency. The study introduces a dual-frequency wireless energy router that enables flexible electricity transmission within a local microgrid. The router's design allows for simultaneous transmission of two different frequencies of electrical energy, enhancing the system's adaptability to various energy demands. The resonant circuits of the transmitters, the virtual AC bus and the receivers are designed to achieve resonance at the desired two frequencies, and enable selective extraction of single-frequency energy from the dual-frequency transmission system. Simulation results confirm the system's ability to effectively distribute power to specific receivers with minimal cross-coupling in the waveforms. The voltage regulation performance is commendable, demonstrating the practical application potential of the system in managing energy in smart grids and electric vehicle charging stations.

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Selective Power Transfer via Dual-Frequency Virtual AC Bus for Wireless Energy Router System

  • Mingkai Yang,
  • Gang Wang

摘要

This paper presents a new dual-frequency wireless energy router and its enhanced performance of selective power transfer by frequency. The study introduces a dual-frequency wireless energy router that enables flexible electricity transmission within a local microgrid. The router's design allows for simultaneous transmission of two different frequencies of electrical energy, enhancing the system's adaptability to various energy demands. The resonant circuits of the transmitters, the virtual AC bus and the receivers are designed to achieve resonance at the desired two frequencies, and enable selective extraction of single-frequency energy from the dual-frequency transmission system. Simulation results confirm the system's ability to effectively distribute power to specific receivers with minimal cross-coupling in the waveforms. The voltage regulation performance is commendable, demonstrating the practical application potential of the system in managing energy in smart grids and electric vehicle charging stations.