Optimizing Vehicle-to-Grid (V2G) Systems for Efficient Renewable Energy Integration and Management

Abstract

This study investigates the optimization of Vehicle-to-Grid (V2G) systems and their role in energy management for integrating renewable power sources, specifically wind, solar, and hybrid energy. The research is structured around three key scenarios: wind power integration, solar power integration, and hybrid power integration. Each scenario is analyzed both with and without electric
vehicles (EVs) to evaluate their impact on grid stability and power quality. In the wind power integration scenario, directly connecting wind energy to the grid without EVs leads to significant power fluctuations, increasing the risk of grid failures. However, incorporating EVs helps mitigate these issues by storing excess energy in batteries, ensuring a stable power supply during periods of low wind. Similarly, in the solar power integration scenario, surplus energy is stored in EV batteries, providing a continuous power supply even when sunlight is unavailable. The hybrid power integration scenario combines both wind and solar energy, leveraging their complementary characteristics to enhance power quality and reliability. Simulation results indicate that hybrid integration with EVs
offers the most stable and high-quality power output, followed by solar and wind integrations. Furthermore, the implementation of DC-DC bidirectional converters and RLC filters improves power stability by regulating voltage fluctuations and minimizing harmonics. This comprehensive analysis underscores the potential of V2G systems to enhance the feasibility and reliability of renewable energy integration into the power grid