A Robust Switched Filter Design for Grid-to-Vehicle Battery Charging Scheme Using Whale Optimization Algorithm

Abstract

Abstract— This paper introduces a novel grid-to-vehicle (G2V) battery charging scheme that utilizes a Li-ion battery-supercapacitor storage system as a backup AC/DC interface to ensure a robust, decoupled interface, power factor enhancement, and power quality performance of an AC grid utility system. A distributed FACTS-based switched filter compensator (SFC) structure is employed as the primary goal to ensure the energy-efficient utilization of the vehicle-to-home (V2H) battery charging scheme under various operational modes. An optimal multi-level functional error-driven weighted modelled proportional-integral-derivative (WM-PID) control strategy was employed to improve power quality performance and ensure fast charging of the battery-supercapacitor system, voltage enhancement, enhancement of the power factor of the AC buses, in addition to the harmonic distortion reduction. The Whale Optimization Algorithm was proposed to optimize the gain values of the PID controller. The proposed controller ensures effective redundant fast charging as well as low decoupling of AC and DC sides with lower ripple content, inrush currents, and transient recovery switching voltages. A comparative evaluation of the performance of the presented SFC with the traditional D-STATCOM was presented for different states of charge conditions to imitate the performance of the storage scheme during the fast charging scenarios. The efficacy of the presented SFC was evaluated by time-domain simulations in the MATLAB/Simulink platform.

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