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Research Article

Optimal Control of on-Board Bidirectional PEV Charger in V2G Demonstration: A Novel Squirrel-Wolf Optimization Approach

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Received 07 Apr 2023, Accepted 03 Mar 2024, Published online: 01 Apr 2024
 

Abstract

Electric vehicles (EV) and hybrid plug-in EVs are receiving more and more attention due to their low fuel consumption and greenhouse gas emissions. To encourage the global adoption of EVs, on-board charger’s management scheme serving in rural locations is crucial, especially for those with erratic or nonexistent power supplies. As a novelty, this work provides the utility grid with reactive power while charging the EV. This is performed by the use of a progressive optimization approach known as the Squirrel-Wolf optimization algorithm to regulate the variables of the PI controller of the Alternative current (AC)-Direct Current (DC) converter and the DC-DC converter. The ideas of the Squirrel search optimization algorithm (SSA) and the Grey Wolf Optimization algorithm (GWO) were integrated to create the projected Squirrel-Wolf optimization algorithm. Also, the proposed method is validated over other methods in terms of error measures.

DISCLOSURE STATEMENT

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Kunal Anil Onkar

Kunal Anil Onkar holds an M.Tech degree in Power Electronics & Drives, which he earned in 2016 from the esteemed Vellore Institute of Technology, Vellore, Tamil Nadu, India. Prior to this, he attained his B.E. degree in Electrical Engineering from Nagpur University. Presently, Kunal is engaged in his Ph.D. studies at the School of Electrical & Electronics Engineering, Vellore Institute of Technology, Bhopal, Madhya Pradesh, India. In addition to his academic pursuits, Kunal serves as an Assistant Professor in the Department of Electrical Engineering at St. Vincent Pallotti College of Engineering & Technology, located in Nagpur, Maharashtra, India. His research interests encompass Power Electronics, Electric Vehicles, Hybrid Energy Storage Systems, and Renewable Energy Resources.

Ankur Beohar

Ankur Beohar received the M.Tech degree in VLSI & Embedded design system in 2010 from the National Institute of Technology (NIT), Bhopal and doctorate degree from IIT Indore in the specialization of Nanoscale devices and its circuit applications in 2018. Further, He has joined Post Doctorate at Department of School of Electrical Engineering and Computer Science, IISER Bhopal in 2018, In continuation, he has been awarded with one year Scientist fellowship of Senior Research Associateship (SRA) under CSIR HRDG, New Delhi in 2019–2020. Presently, He is currently working as an Assistant Professor (Senior Grade) and Programme Chair (M.Tech, VLSI Design) at Vellore Institute of Technology (VIT) Bhopal University from November 2019 to continue. Recently, he received funded project on Low Power Tunnel FET based biosensor from SERB-TARE, Govt. of India. He has authored/co-authored more than 40 research papers in peer reviewed SCI journals and peer reviewed International conferences. He is the senior member of IEEE and VLSI Society of India. He also published 5 book chapters and one EDITOR book to his credit. He has been the reviewer for various peer reviewed SCI journals such as JCE Springer, IEEE Nanotechnology, IOP Semiconductor science and technology, etc. His research interest includes modeling and simulation of Nanoscale devices and its circuit applications for low power SoC module.

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