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Article . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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Optimal Siting of Electric Vehicle Charging Stations, Wind Turbine Generators, and Battery Energy Storage System in an Enhanced IEEE 33-Bus Test System

Authors: Rago, Joshua P.; Manzano, John Paul P.; Lebosada, Ma. Danica C.;

Optimal Siting of Electric Vehicle Charging Stations, Wind Turbine Generators, and Battery Energy Storage System in an Enhanced IEEE 33-Bus Test System

Abstract

Environmental concerns over fossil fuels and greenhouse gas emissions from transportation are driving interest in electric vehicles (EVs). However, EV integration poses challenges to the power grid, including voltage violations and power losses. This study optimizes the placement of electric vehicle charging stations (EVCS), wind turbine distributed generation (WTDG), and battery energy storage systems (BESS) in the IEEE 33-bus system using differential evolution (DE) algorithm. MATLAB was used for the optimization process, while OpenDSS handled the power flow analysis. Results show that increasing EVCS sites raises power losses, while integrating WTDGs and BESS improves performance by reducing the losses and improving the voltage profile. This study provides insights for optimizing EVCS allocation and renewable energy integration to promote sustainable transportation.

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Keywords

Electric vehicles, electric vehicle charging stations, battery energy storage systems

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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