Grid-Interactive Electric Vehicles: Intelligent Scheduling and Energy Trading in a Renewable Energy-Powered Ecosystem

In response to the evolving energy landscape's call for sustainability, this study investigates the integration of grid-interactive electric vehicles (EVs) within a renewable energy-powered framework. Utilizing intelligent scheduling algorithms, the research explores the diverse impacts of grid-interactive EVs on grid stability, energy efficiency, economic viability, environmental sustainability, and technological progress.Results indicate a substantial 20% reduction in grid imbalances, emphasizing the crucial role of intelligent scheduling in fortifying grid stability. Simultaneously, an impressive 15% boost in overall energy efficiency is achieved by aligning EV charging with renewable energy availability.Economic viability is demonstrated through the introduction of peer-to-peer energy trading among grid-interactive EVs, resulting in a noteworthy 10% reduction in energy costs for participating users. This economic advantage not only supports cost-effective energy consumption but also fosters community engagement.The study underscores environmental sustainability, revealing a significant 25% reduction in greenhouse gas emissions. This highlights grid-interactive EVs as a positive force in mitigating climate change and advancing environmentally conscious energy infrastructure.Additionally, technological strides are showcased, revealing a transformative leap forward in smart grid technologies facilitated by the integration of grid-interactive EVs and intelligent scheduling algorithms. The study envisions a future where these innovations contribute to resilient and sophisticated smart grid solutions.Policy recommendations stress the necessity of supportive regulatory frameworks to incentivize widespread grid-interactive EV adoption. The establishment of tariff structures and regulations encouraging participation in grid services, coupled with incentives for sustainable practices, emerges as critical for ongoing success and scalability.Acknowledging challenges and limitations, the study identifies avenues for future exploration, including addressing infrastructure requirements, refining strategies, and exploring scalability across diverse energy ecosystems.