Optimizing Power Utilization and Grid Stability in Virtual Power Plants Under Stochastic Conditions

Abstract

This study explores the integration of Virtual Power Plants (VPPs) as a means to optimize grid operations by leveraging a combination of renewable energy sources, Energy Storage Systems (ESS), Electric Vehicles (EVs), and HVAC systems. The methodology involved a detailed analysis of how shading and weather uncertainty impact solar power generation, as well as the application of adaptive control strategies to manage the charging and discharging of ESS and EV batteries. Through this approach, the study highlights the significant influence that environmental factors, such as shading and uncertainty, have on solar power output, particularly during both summer and winter seasons. In addition, the results show that adaptive control strategies are highly effective in mitigating the variability caused by uncertainties, leading to improved energy storage performance, particularly with regard to maintaining a more stable State of Charge (SOC) in ESS and EV batteries. The integration of VPPs also proves to be beneficial in enhancing grid stability, improving the utilization of available power, and ensuring better system reliability. This research demonstrates the potential of VPPs in not only addressing the challenges of modern energy systems but also in contributing to more efficient, reliable, and sustainable grid operations through advanced energy management techniques. Ultimately, the findings underscore the importance of VPPs in building a resilient energy infrastructure that is capable of adapting to uncertainties and optimizing resource allocation for future power systems.