Optimal Location of Electric Vehicle Fast Charging Station Using Grasshopper Optimization Algorithm
| International Journal of Electrical and Electronics Engineering |
| © 2023 by SSRG - IJEEE Journal |
| Volume 10 Issue 9 |
| Year of Publication : 2023 |
| Authors : Zuhaila Mat Yasin, Nur Ashida Salim, Siti Zaliha Mohamad Noor, Nur Fadilah Ab Aziz, Hasmaini Mohamad |
10.14445/23488379/IJEEE-V10I9P117
How to Cite?
Zuhaila Mat Yasin, Nur Ashida Salim, Siti Zaliha Mohamad Noor, Nur Fadilah Ab Aziz, Hasmaini Mohamad, "Optimal Location of Electric Vehicle Fast Charging Station Using Grasshopper Optimization Algorithm," SSRG International Journal of Electrical and Electronics Engineering, vol. 10, no. 9, pp. 181-189, 2023. Crossref, https://doi.org/10.14445/23488379/IJEEE-V10I9P117
Abstract:
The increasing prevalence of Electric Vehicles (EVs) has underscored the critical importance of establishing a comprehensive and effective charging station network. To sufficiently meet the energy demands of electric vehicles, it is imperative to establish a robust charging station infrastructure that can effectively cater to a substantial volume of electric automobiles. This infrastructure must be widely deployed to ensure widespread accessibility and usability. Many EVs’ concurrent usage of electric charging stations may lead to potential unreliability in the distribution setup. Hence, it is imperative to strategically determine the placement and sizing of Fast Charging Stations (FCS) to achieve optimal functionality of the power grid. This paper proposes the Grasshopper Optimization Algorithm (GOA) as a technique for strategically locating FCS to minimize costs. GOA is a computational technique that addresses optimization challenges by formulating a mathematical model that emulates the collective behaviour observed in natural grasshopper swarms. The proposed methodology is evaluated on an IEEE 69-bus radial distribution system. The results indicate that the proposed methodology has successfully identified the most economically efficient location for FCS within a power distribution network compared to alternative optimization methods.
Keywords:
Ant colony optimizer, Cost minimization, Distribution system, Minimum voltage, Power loss minimization.
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