Biologically-Inspired Wireless Power Transmission System

This chapter gives an overview on Wireless Power Transfer (WPT) systems and the existing biologically-inspired architectures which could be used to optimize the efficiency of the systems. In general, wireless power transmission could be categorized into near-field and far-field mechanisms. At present, one of the most immediate issues to be solved is the relatively low efficiency in a WPT system. The system's efficiency decreases gradually as the distance increases. To ensure highest efficiency, the path with the shortest distance and the lowest interference is to be selected. In this case, a few of the most popular biologically-inspired algorithms, i.e. Firefly Algorithm(FA), Simulated Annealing (SA), the Ant Colony Optimization (ACO) and Genetic Algorithms (GAs) could be employed for efficiently solving different optimization problems. In short, these algorithms mentioned involve the emulation of fireflies flash signals for mating, exploitation of the metallurgy process, nature of ants leaving pheromones along the trails traveled and also the mimic of gradual evolution of organisms.

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An Adaptive Current Limiting Controller for a Wireless Power Transmission System Energized by a PV Generator

Electronics ◽

10.3390/electronics9101648 ◽

2020 ◽

Vol 9 (10) ◽

pp. 1648

Author(s):

Ali Jafer Mahdi ◽

Shah Fahad ◽

Wenhu Tang

Keyword(s):

Resonant Frequency ◽

Power Transmission ◽

Renewable Energy Sources ◽

Transmission System ◽

Consumer Electronics ◽

Variable Load ◽

Wireless Power ◽

Wireless Power Transmission ◽

Power Transmission System ◽

Low Efficiency

The use of a wireless power transmission system (WPTS) in modern applications, such as consumer electronics, renewable energy sources (RESs) and electric vehicles (EVs), can significantly increase the safety and convenience of the power supply. However, low efficiency is a major hurdle to the use of a WPTS in these applications. In this article, an adaptive virtual impedance controller (AVIC) is presented to enhance the wireless power transfer (WPT) efficiency of a photovoltaic generator (PVG) to the load. In the proposed controller, a unique method is employed to adaptively estimate the coefficient of coupling and resonant frequency of the WPTS coils as a function of the distance between the coils. Moreover, a modified incremental conductance (IC) based maximum power tracking (MIC-MPPT) technique is presented to operate the PVG at MPPT mode. The proposed MIC-MPPT is tested via a hardware prototype and the controller validation is carried out in the MATLAB/SIMULINK environment under various uncertainties, such as intermittent irradiance, variable load, and the distance between transmitter (Tx) and receiver (Rx) coils. Finally, a comparative analysis between the proposed controller and the conventional non-adaptive and adaptive resonant frequency controller is presented which confirms the superiority of the proposed controller.

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