Optimizing Electric Vehicle Charging Infrastructure in Microgrids: A Comprehensive Framework for Enhanced Efficiency and Sustainability

This research introduces a holistic optimization framework designed to optimize the placement and energy management of electric vehicle (EV) charging stations within microgrids. The primary objective is to boost operational efficiency and cut down on energy expenses. By leveraging sophisticated algorithms and real-time data analytics, the system dynamically modifies charging schedules and energy sourcing strategies. The strategies optimize the utilization of renewable energy sources. Peak load demands are lowered significantly. Extensive field tests and simulations were carried out for the purpose of validating the effectiveness of the framework. This demonstrates significant improvements in operating efficiency. Putting the suggested ideas into practice, increased overall efficiency by 26.3%. This translates to reduced operating expenses and environmental effect. The research provides a useful manual for setting up effective and sustainable EV charging infrastructure.

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Publication Details

Journal
International Journal of Circuits Systems and Signal Processing
Published
2025-08-04
DOI
https://doi.org/10.46300/9106.2025.19.1
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
0.00
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article

Optimizing Electric Vehicle Charging Infrastructure in Microgrids: A Comprehensive Framework for Enhanced Efficiency and Sustainability

Shengxue Tang, Akram Muhammad Ehtsham
International Journal of Circuits Systems and Signal Processing
Electric Vehicles and Infrastructure
article

Optimizing Electric Vehicle Charging Infrastructure in Microgrids: A Comprehensive Framework for Enhanced Efficiency and Sustainability

Shengxue Tang, Akram Muhammad Ehtsham
article en

Abstract

This research introduces a holistic optimization framework designed to optimize the placement and energy management of electric vehicle (EV) charging stations within microgrids. The primary objective is to boost operational efficiency and cut down on energy expenses. By leveraging sophisticated algorithms and real-time data analytics, the system dynamically modifies charging schedules and energy sourcing strategies. The strategies optimize the utilization of renewable energy sources. Peak load demands are lowered significantly. Extensive field tests and simulations were carried out for the purpose of validating the effectiveness of the framework. This demonstrates significant improvements in operating efficiency. Putting the suggested ideas into practice, increased overall efficiency by 26.3%. This translates to reduced operating expenses and environmental effect. The research provides a useful manual for setting up effective and sustainable EV charging infrastructure.

International Journal of Circuits Systems and Signal ProcessingVol. 19
Hebei University of Technology (CN)
Openalex Percentile: Top 83%
Electric Vehicles and Infrastructure
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Optimizing Electric Vehicle Charging Infrastructure in Microgrids: A Comprehensive Framework for Enhanced Efficiency and Sustainability — Shengxue Tang, Akram Muhammad Ehtsham · International Journal of Circuits Systems and Signal Processing (2025) | TGRS Research Map | TGRS