Design of Space Efficient Electric Vehicle Charging Infrastructure Integration Impact on Power Grid Network

Suresh Chavhan (), Subhi R. M. Zeebaree, Ahmed Alkhayyat and Sachin Kumar ()
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Suresh Chavhan: Department of Electronics and Communication Engineering, Indian Institute of Information Technology Kottayam, Kerala 686635, India
Subhi R. M. Zeebaree: Energy Engineering Department, Technical College of Engineering, Duhok Polytechnic University, Duhok 42001, Iraq
Ahmed Alkhayyat: College of Technical Engineering, The Islamic University, Najaf 54001, Iraq
Sachin Kumar: Big Data and Machine Learning Lab, South Ural State University, 454080 Chelyabinsk, Russia

Mathematics, 2022, vol. 10, issue 19, 1-20

Abstract: With an ever-increasing number of electric vehicles (EVs) on the roads, there is a high demand for EV charging infrastructure. The present charging infrastructure in the market requires a lot of space and sometimes leads to traffic congestion, increasing the risk of accidents and obstruction of emergency vehicles. As the current infrastructure requires ample space, the cost of setting up this charging infrastructure becomes very high in metropolitan cities. In addition, there are a lot of adverse effects on the power grid due to the integration of EVs. This paper discusses a space-efficient charging infrastructure and multi-agent system-based power grid balance to overcome these issues. The proposed multi-level EV charging station can save a lot of space and reduce traffic congestion as more vehicles can be accommodated in the space. Depending on the size, capacity, and type of multi-level vehicle charging system, it can serve as a reliable charging solution at sites with medium and high daily footfall. We integrated the EV charging station with IEEE 33 bus test system and analyzed the grid and charging stations. The proposed scheme is exhaustively tested by simulation in a discrete-time event simulator in MATLAB and analyzed with varying EV arrival rates, time periods, etc.

Keywords: multi-level charging stations; power grid network; multi-agent system; stability (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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