Grid-connected bidirectional electrical vehicle charger controller parameters optimization using a new hybrid meta-heuristic algorithm

• Published in: Journal of energy storage 2024-08, Vol.95, p.112307, Article 112307
• Main Authors: Osman, Fawzy A., Eltokhy, Mostafa A.R., Hashem, Asmaa Y.M., Hashem, Mohamed Y.M.
• Format: Article
• Language: English
• Subjects: Bidirectional electrical vehicle charger; Grid to vehicle; Meta-heuristic algorithms; Particle swarm optimization; Vehicle to grid; Wield horse optimization
• ISSN: 2352-152X; 2352-1538
• DOI: 10.1016/j.est.2024.112307

In this paper, a new hybrid meta-heuristic optimization algorithm with the aid of the suggested objective function has been investigated. The main object of the proposed optimized controller was to tackle the bidirectional battery charger problem represented in the design of its controller's coefficients to achieve its best performance. The optimization handcuffs/objectives were to minimize the errors for DC-Link voltage and the battery current during the bidirectional battery charger in two modes of operation. The proposed optimization technique was a hybrid meta-heuristic optimization technique developed by hybridizing two famous algorithms; the Wild Horse Optimization technique, and the Particle Swarm Optimization technique. The proposed hybrid optimization algorithm is called Wild Horse-Particle Swarm Optimization. To demonstrate the efficiency improvement of the proposed algorithm, the classical twenty-three fitness benchmark functions were tested, and the results were compared with other algorithms. The proposed algorithm was used to optimize the parameters of the inner-loop voltage and current controllers of the interlinked converters and the battery current controller's parameters. The whole system was simulated using MATLAB / Simulink in which the simulation results were presented. Also, the system was tested experimentally using the hardware-in-the-loop real-time emulator, LAUNCHXL-F28377S DSP KIT, to validate the optimal Controller's feasibility and reliability. During the Grid-to-Vehicle (G2V) mode of operation, the batteries were charged from the utility power grid with alternating current and a mostly unity power factor. In addition to the Vehicle-to-Grid (V2G) mode of operation, stored energy in the batteries may need to be delivered back to the utility power grid to contribute the increase in the utility power system's stability and robustness. The response of the DC-link voltage for the experimentally emulated system with the optimized controller parameters has overshot approximately 3.75 %. Also, the battery current during charging and discharging modes for the experimental system with optimized controller parameters, and the current ripples were increased from the simulated results, approximately equal 3.33 %.