Integration of distributed generation and renewable energy resources in contemporary power systems necessitates sophisticated control techniques to maintain efficiency and stability. Adaptive fuzzy control (AFC) mechanisms introduce a smart methodology for handling uncertainty and variability in virtual power plants (VPPs) and smart grids. AFC improves immunity against voltage and frequency fluctuations through dynamic adaptation of control parameters as per real-time grid conditions. This strategy allows for effective load balancing, demand response, and fault tolerance, minimizing power losses and enhancing overall energy efficiency. AFC uses fuzzy logic concepts to make decisions in real time from uncertain or imprecise information, which makes it extremely effective in managing the variability of renewable energy sources. AFC also improves the coordination of distributed energy resources (DERs), optimizing energy distribution and grid stability. The suggested control mechanism also facilitates automated decision-making, minimizing human intervention in energy management. Simulation results confirm the efficacy of AFC in suppressing fluctuations due to intermittent renewable sources, resulting in enhanced reliability and sustainability. The results indicate AFC's potential as a robust and scalable solution for next-generation smart grid management. The study concludes that integrating AFC into smart grids and VPPs can significantly enhance power system efficiency, stability, and resilience.