SciRepID - Nonlinear Control Techniques for Enhanced Stability in Renewable Energy Systems

📅 30 October 2024
DOI: 10.62951/ijeemcs.v1i1.71

Nonlinear Control Techniques for Enhanced Stability in Renewable Energy Systems

International Journal of Electrical Engineering, Mathematics and Computer Science
Asosiasi Riset Teknik Elektro dan Informatika Indonesia (ARTEII)

📄 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.

🔖 Keywords

#Nonlinear control; renewable energy systems #stability; adaptive control; sliding mode control; fuzzy logic control

ℹ️ Informasi Publikasi

Tanggal Publikasi
30 October 2024
Volume / Nomor / Tahun
Volume 1, Nomor 1, Tahun 2024

📝 HOW TO CITE

Muhammad Abdullah Khan; Usman Tariq Chaudhry, "Nonlinear Control Techniques for Enhanced Stability in Renewable Energy Systems," International Journal of Electrical Engineering, Mathematics and Computer Science, vol. 1, no. 1, Oct. 2024.

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