Nonlinear Control Techniques for Enhanced Stability in Renewable Energy Systems

Muhammad Abdullah Khan
Usman Tariq Chaudhry

International Journal of Electrical Engineering, Mathematics and Computer Science
Vol. 1 No. 1 (2024): March : International Journal of Electrical Engineering, Mathematics and Comput

Renewable energy systems, particularly those incorporating solar and wind power, are prone to stability issues due to the intermittent and fluctuating nature of these energy sources. This paper investigates several nonlinear control techniques—namely, adaptive control, sliding mode control, and fuzzy logic control—that are designed to improve stability in renewable energy systems. Through simulations, we demonstrate how these methods can effectively reduce fluctuations and maintain stable energy output, offering a robust approach to enhancing the reliability of renewable energy systems.