Sustainable Electric Vehicle Charging System with Integrated Renewable Energy Sources
摘要
Recently, the integration of renewable power generation and electric vehicles has gained significant attention within the framework of smart grids. As electric vehicles (EVs) become a vital component of hybrid systems, several serious challenges arise from their integration, including increased power losses, issues related to power quality, and voltage deviations. To address these challenges, researchers have proposed a variety of innovative techniques aimed at enhancing the efficiency and effectiveness of EV charging solutions powered by renewable energy. This chapter presents a framework for a sustainable electric vehicle charging system using integrated renewable energy sources. An enhanced variant of the binary quantum version of the zebra optimization algorithm is developed to manage renewable sources effectively while addressing load uncertainties. The proposed approach considers the variability associated with electric vehicle charging demands and incorporates multiple charging control modes. The performance of this technique, implemented on the MATLAB platform, is compared to existing methods in the literature. The analysis demonstrates the potential of utilizing renewable energy for EV charging to significantly reduce power losses, electricity costs, and average waiting times for EV users, thereby enhancing the sustainability and operational efficiency of the charging infrastructure.