Volume 23, Issue 1 (JIAEEE Vol.23 No.1 2026)                   Journal of Iranian Association of Electrical and Electronics Engineers 2026, 23(1): 57-67 | Back to browse issues page

‎ 10.61882/jiaeee.23.1.60

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Heydari S, Hatami A. Stability Analysis and Optimization of Wind Energy Conversion Systems in DC Networks with Emphasis on Mechanical Dynamics and System Stabilization Methods. Journal of Iranian Association of Electrical and Electronics Engineers 2026; 23 (1) :57-67
URL: http://jiaeee.com/article-1-1825-en.html
Stability Analysis and Optimization of Wind Energy Conversion Systems in DC Networks with Emphasis on Mechanical Dynamics and System Stabilization Methods
Sara Heydari , AliReza Hatami *
Department of Electrical Engineering, Faculty of Engineering, Bu-Ali Sina University
Abstract:   (10 Views)
This research introduces a novel framework for analyzing the stability and optimizing the performance of wind energy conversion systems within direct current (DC) networks. By utilizing a precise model of wind turbine mechanical dynamics, integrated with frequency-domain impedance analysis, the system's behavior is examined under various load conditions and disturbances. The primary innovation of this study is the development of an adaptive fuzzy logic-based controller, capable of real-time adjustment of control parameters in response to load and wind variations. Results from detailed simulations demonstrate that the proposed method achieves an average reduction of over 70% in mechanical and DC voltage oscillations compared to traditional methods. Furthermore, frequency analysis of the system reveals that the proposed control effectively eliminates critical resonance peaks, providing more stable performance when faced with dynamic loads. This method can be effectively applied in the design of new-generation intelligent energy systems in DC networks, particularly in renewable microgrids.
Keywords: Adaptive fuzzy control, DC network stability, Wind energy, Two-mass turbine dynamics, Frequency impedance, Advanced control, Mechanical resonance, Real-time analysis, Smart energy grids
     
Type of Article: Review | Subject: Power
Received: 2025/05/21 | Accepted: 2025/12/28 | Published: 2026/03/30
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