Optimizing Electric Vehicle Charging Station Placement in IEEE-118 Bus System

The increasing popularity of electric vehicles (EVs) as an environmentally friendly transportation option has led to a surge in electricity demand, particularly at Electric Vehicle Charging Stations (EVCS). This heightened demand poses significant challenges for Radial Distribution Systems (RDS), contributing to increased power losses and deteriorating voltage profiles. To address these issues, this study presents an optimized strategy for placing capacitor banks within RDS, aimed at minimizing annual energy loss costs associated with power losses. We evaluate the proposed strategy using two optimization methods: Grey Wolf Optimization (GWO) and Particle Swarm Optimization (PSO). Our analysis, conducted on the IEEE 118-bus test system, shows that the GWO approach results in a 1.85% reduction in power losses, while the PSO method achieves an 8.04% reduction. Furthermore, our methodology improves bus voltage profiles and demonstrates faster convergence rates, highlighting its potential to enhance the efficiency and reliability of distribution networks.

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Publication Details

Published
2025-03-21
DOI
https://doi.org/10.1109/icsses64899.2025.11009752
Primary Topic
Advanced Battery Technologies Research
Type
article
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article

Optimizing Electric Vehicle Charging Station Placement in IEEE-118 Bus System

B Vinod Kumar, Aneesa Farhan M A
Advanced Battery Technologies Research
article

Optimizing Electric Vehicle Charging Station Placement in IEEE-118 Bus System

B Vinod Kumar, Aneesa Farhan M A
article en

Abstract

The increasing popularity of electric vehicles (EVs) as an environmentally friendly transportation option has led to a surge in electricity demand, particularly at Electric Vehicle Charging Stations (EVCS). This heightened demand poses significant challenges for Radial Distribution Systems (RDS), contributing to increased power losses and deteriorating voltage profiles. To address these issues, this study presents an optimized strategy for placing capacitor banks within RDS, aimed at minimizing annual energy loss costs associated with power losses. We evaluate the proposed strategy using two optimization methods: Grey Wolf Optimization (GWO) and Particle Swarm Optimization (PSO). Our analysis, conducted on the IEEE 118-bus test system, shows that the GWO approach results in a 1.85% reduction in power losses, while the PSO method achieves an 8.04% reduction. Furthermore, our methodology improves bus voltage profiles and demonstrates faster convergence rates, highlighting its potential to enhance the efficiency and reliability of distribution networks.

National Institute of Technology Tiruchirappalli (IN)
Openalex Percentile: Top 87%
Advanced Battery Technologies Research
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