Optimizing EV Charging Station and Capacitor Placement for Energy Loss Reduction in Distribution Networks Using GWO

The rise of electric vehicles (EVs) brings environmental benefits but challenges grid stability. Charging stations increase power demand, potentially leading to voltage drops and energy losses. This study proposes integrating capacitors with EV charging stations (EVCS) to mitigate these issues. Capacitors provide reactive power compensation, maintaining voltage stability and minimizing energy waste during EV charging. Grey Wolf Optimizer (GWO), a powerful search technique, is employed to identify optimal locations for EVCS and capacitors within a distribution Network (DN). The effectiveness of this approach is validated through simulations on the standard IEEE-33 bus system. The results demonstrate that strategically placed capacitors significantly reduce energy losses and improve the voltage profile. This integrated strategy paves the way for a more robust and efficient grid infrastructure, especially as EV adoption grows.

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Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/icisaa62385.2024.10829124
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
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article

Optimizing EV Charging Station and Capacitor Placement for Energy Loss Reduction in Distribution Networks Using GWO

B Vinod Kumar, M A Aneesa Farhan
Electric Vehicles and Infrastructure
article

Optimizing EV Charging Station and Capacitor Placement for Energy Loss Reduction in Distribution Networks Using GWO

B Vinod Kumar, M A Aneesa Farhan
article en

Abstract

The rise of electric vehicles (EVs) brings environmental benefits but challenges grid stability. Charging stations increase power demand, potentially leading to voltage drops and energy losses. This study proposes integrating capacitors with EV charging stations (EVCS) to mitigate these issues. Capacitors provide reactive power compensation, maintaining voltage stability and minimizing energy waste during EV charging. Grey Wolf Optimizer (GWO), a powerful search technique, is employed to identify optimal locations for EVCS and capacitors within a distribution Network (DN). The effectiveness of this approach is validated through simulations on the standard IEEE-33 bus system. The results demonstrate that strategically placed capacitors significantly reduce energy losses and improve the voltage profile. This integrated strategy paves the way for a more robust and efficient grid infrastructure, especially as EV adoption grows.

National Institute of Technology Tiruchirappalli (IN)
Affordable and clean energy
Openalex Percentile: Top 76%
Electric Vehicles and Infrastructure
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