Enhancing Power Efficiency and Grid Stability in Virtual Power Plants under Stochastic Uncertainties

This study examines the integration of Virtual Power Plants (VPPs) to optimize grid operations using renewable energy, Energy Storage Systems (ESS), Electric Vehicles (EVs), and HVAC systems. It analyzes the effects of shading and weather uncertainties on solar power generation and employs adaptive control strategies to manage ESS and EV battery performance. The findings reveal that environmental factors, particularly shading and seasonal variations, significantly impact solar output. Adaptive control strategies effectively mitigate variability, improving energy storage performance and maintaining a stable State of Charge (SOC) in ESS and EV batteries. VPP integration enhances grid stability, optimizes power utilization, and improves system reliability. This research underscores the critical role of VPPs in addressing modern energy challenges by employing advanced energy management techniques. By adapting to uncertainties and optimizing resources, VPPs contribute to more efficient, reliable, and sustainable grid operations, supporting a resilient energy infrastructure.