Intelligent Control and Optimization of Hybrid Solar–Wind Energy Systems for Efficient Power Management

Description / Abstract The rapid adoption of renewable energy sources has created a pressing need for efficient and intelligent energy management strategies. Hybrid solar–wind energy systems combine the complementary advantages of photovoltaic panels and wind turbines, mitigating the intermittency challenges of individual sources. This paper presents a theoretical framework for modeling and analyzing hybrid solar–wind systems, focusing on intelligent control and optimization techniques to enhance overall performance. The proposed approach includes mathematical modeling of power generation from solar and wind resources, combined with rule-based and predictive control strategies for optimal energy distribution. The study highlights how intelligent management can improve system efficiency, reduce energy loss, and maintain reliability under variable environmental conditions, even without the use of empirical data. This framework provides a solid foundation for future research and practical applications in smart grids, renewable energy integration, and sustainable power management. The article demonstrates that theoretical and model-based analyses can yield valuable insights for designing robust and efficient hybrid energy systems. Keywords: Hybrid Energy Systems, Solar Power, Wind Energy, Intelligent Control, Energy Optimization, Smart Grid