DETERMINATION OF OPTIMAL LOCATION AND SIZE OF ELECTRIC VEHICLE CHARGING STATIONS WITH THE INSTALLATION SPACE CONSTRAINTS

Authors

  • Thien Vo Minh Can Tho University of Technology, Vietnam Author
  • Tien Doan Thi Kieu Can Tho University of Technology, Vietnam Author
  • Hau Nguyen Van Can Tho University of Technology, Vietnam Author
  • Dieu Vo Ngoc Ho Chi Minh City University of Technology, VNU-HCM, Vietnam Corresponding Author

DOI:

https://doi.org/10.62985/j.huit_ojs.vol26.no2E.388

Keywords:

EV optimal placement, MGO algorithm, distributed generation, EVCS, optimal algorithms

Abstract

This study proposed an optimizer model for determining in the optimal location and size of electric vehicle charging stations (EVCSs) in a distribution network (DN) integrated with distributed generation (DG) sources, while considering installation space constraints. The objective of the proposed model is to minimize power losses and maintain voltage stability. The Mountain Gazelle Optimizer (MGO) is applied to solve the optimization problem via two scenarios: without and with consideration in installation space constraints for three specific cases: DG-EVCS fixed, DG fixed-EVCS optimal and DG-EVCS optimal. The standard IEEE 119-bus and MATLAB R2022a software in conjunction with the MATPOWER 6.0 tool are used for simulation and results output. The obtained results are compared with those of other strong optimization algorithms to evaluate the superiority of the proposed model and the MGO algorithm. The model outcomes are proposed for planning, design, and development of EVCS infrastructure are provided in the practicality.

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Published

2026-06-11

Issue

Vol. 26 No. 2E (2026)

Section

Electricity - Electronics - Automation