Abstract Modern power networks face a significant problem with voltage instability since there isn't enough generation and transmission capacity to meet growing demand, such as the load associated with EV charging. To enable the industry's sustainable expansion, an infrastructure for electric vehicle charging stations (EVCS) must be developed. Higher voltage variation and energy losses in the electrical distribution system may arise from the unplanned placement of EVCS. This research proposes an operational approach to sustain the power system's voltage stability, reducing power losses and increasing the system voltage following the optimal placement of EVCS. To determine the best location, this research suggests a novel hybrid coati-pelican optimization technique. The recommended method's efficacy has been assessed using the standard IEEE-33 and IEEE-69 bus test system. A forward–backward power flow method has been applied to compute load flow. The convergence criterion is compared with the other latest optimization techniques. The results of the simulation validate the effectiveness and performance of the hybridized optimization technique. The MATLAB/Simulink tool is used to implement this suggested approach. Key messages <UnorderedList Mark="Bullet"> <ItemContent> Rising demand, especially from EV charging, is straining power networks and causing voltage instability. </ItemContent> <ItemContent> Uncoordinated placement of Electric Vehicle Charging Stations (EVCS) can lead to voltage fluctuations and higher energy losses in distribution systems. </ItemContent> <ItemContent> A well-planned EVCS infrastructure is essential to support the sustainable growth of the electric vehicle industry without compromising grid stability. </ItemContent> <ItemContent> This research introduces a novel hybrid Coati-Pelican Optimization technique for the optimal placement of EVCS to enhance voltage stability and reduce power losses. </ItemContent> <ItemContent> The proposed method has been tested on standard IEEE-33 and IEEE-69 bus test systems, demonstrating its effectiveness through simulation. </ItemContent> <ItemContent> A forward-backward sweep method is used for load flow computation, ensuring improved voltage profiles and reduced power losses under different EVCS placement scenarios. </ItemContent> <ItemContent> The approach is effectively implemented and validated using MATLAB/Simulink tools. </ItemContent> </UnorderedList>

Hybrid Optimization Approach for Optimal Location of Electric Vehicle Charging Station (EVCS) in Distribution Network Considering Voltage Stability

期刊论文
发表日期：

2025年5月19日

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Sarika S. Kanojia,
Bhavik N. Suthar,
Ashutosh K. Giri

摘要

Abstract

Modern power networks face a significant problem with voltage instability since there isn't enough generation and transmission capacity to meet growing demand, such as the load associated with EV charging. To enable the industry's sustainable expansion, an infrastructure for electric vehicle charging stations (EVCS) must be developed. Higher voltage variation and energy losses in the electrical distribution system may arise from the unplanned placement of EVCS. This research proposes an operational approach to sustain the power system's voltage stability, reducing power losses and increasing the system voltage following the optimal placement of EVCS. To determine the best location, this research suggests a novel hybrid coati-pelican optimization technique. The recommended method's efficacy has been assessed using the standard IEEE-33 and IEEE-69 bus test system. A forward–backward power flow method has been applied to compute load flow. The convergence criterion is compared with the other latest optimization techniques. The results of the simulation validate the effectiveness and performance of the hybridized optimization technique. The MATLAB/Simulink tool is used to implement this suggested approach.

Key messages

Rising demand, especially from EV charging, is straining power networks and causing voltage instability.

Uncoordinated placement of Electric Vehicle Charging Stations (EVCS) can lead to voltage fluctuations and higher energy losses in distribution systems.

A well-planned EVCS infrastructure is essential to support the sustainable growth of the electric vehicle industry without compromising grid stability.

This research introduces a novel hybrid Coati-Pelican Optimization technique for the optimal placement of EVCS to enhance voltage stability and reduce power losses.

The proposed method has been tested on standard IEEE-33 and IEEE-69 bus test systems, demonstrating its effectiveness through simulation.

A forward-backward sweep method is used for load flow computation, ensuring improved voltage profiles and reduced power losses under different EVCS placement scenarios.

The approach is effectively implemented and validated using MATLAB/Simulink tools.