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All Journal International Journal of Electrical Engineering, Mathematics and Computer Science
Muhammad Abdullah Khan
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Computer Science & IT Engineering Mathematics

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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
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijeemcs.v1i1.71

Abstract

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.
Co-Authors Usman Tariq Chaudhry