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Smart city article details
| Title | Grey Wolf Algorithm For Area-Wise Allocation Of Ev Charging Stations |
|---|---|
| ID_Doc | 28471 |
| Authors | Singh A.; Rizwan M.; Nangia U. |
| Year | 2024 |
| Published | Proceedings of the 3rd IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2024 |
| DOI | http://dx.doi.org/10.1109/ICPEICES62430.2024.10719144 |
| Abstract | The electrification of the transport sector plays an important role in ameliorating smart cities. With the tremendous increase in Electric Vehicles EVs, deployment of well-planned EV charging stations is mandatory. Also, the installation of a greater number of charging stations at a place creates congestion on the distribution network and on the traffic inflow of vehicles. One of the best strategies to reduce pollution in the transportation industry is to use an electric vehicle. The vehicle's battery needs to be charged, hence, charging stations are necessary. The additional power demand during the charging of electric vehicles is the root cause of the voltage drop and power loss in the distribution system. Placing the charging station at the ideal node is required to maintain a healthy voltage profile and the least amount of power loss possible. The allocation of electric vehicle charging stations over an IEEE 33-node radial distribution network is the primary focus of this paper. Three distinct zones have been created throughout the distribution network to offer charging stations at different points within each area. Every three separate locations now has a charging station. Using Grey Wolf Optimisation, the issue has been transformed into an optimisation challenge, and area-wise distribution is done for better EV penetration. © 2024 IEEE. |
| Author Keywords | Electric Vehicle; Electric Vehicle Charging Station; Grey Wolf Optimization |
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