سامانه همایش های دانشگاه آزاد اسلامی واحد نجف آباد

صفحه اصلی / ششمین کنفرانس بین المللی بهینه سازی مصرف انرژی الکتریکی

Optimization of Electric Vehicle Charging Station Placement Using V2G Technology and Intelligent Algorithms

نویسندگان :

ABBAS SEIF¹ Hamid Radmanesh²

1- دانشگاه آزاد اسلامی واحد تهران مرکزی 2- دانشگاه ازاد تهران مرکز

کلمات کلیدی :

Electric Vehicles،Vehicle-to-Grid،Smart Grids،Genetic Algorithm

چکیده :

Electric vehicles (EVs) are increasingly recognized as a crucial component of future sustainable energy systems due to their potential to reduce greenhouse gas emissions and dependence on fossil fuels. However, integrating EV charging stations into existing distribution networks poses challenges related to voltage stability, power losses, and peak demand management. The primary gap in the literature concerns optimizing the location of EV charging stations and their interaction with power grids, particularly with Vehicle-to-Grid (V2G) technology. This study proposes a novel approach for optimizing the placement of EV charging stations within a standard IEEE 69-bus distribution system, incorporating V2G capabilities. The objective is to minimize power losses and improve voltage profiles while leveraging the energy stored in EV batteries during peak demand periods. Using genetic algorithms (GA) and particle swarm optimization (PSO), two scenarios are evaluated: the presence and absence of V2G-enabled vehicles. The numerical analysis reveals that V2G integration significantly reduces network losses by 12.5% and enhances voltage stability across the grid. Furthermore, the PSO algorithm demonstrates a faster convergence and better voltage profile improvement compared to GA. These findings highlight the critical role of EV parking stations in future smart grids and offer practical insights for urban planners and utility managers to optimize distribution networks with rising EV adoption.