Doubly fed induction generator frequency regulation enhancement using combined inertia and proportional resonant controller

Abdeen, Mohamed, Al Dawsari, Saleh, El-Dabah, Mahmoud A., Ahmed, Mamdouh K., Touti, Ezzeddine, Diab, Ahmed A. Zaki and Abo El-Magd, Ayat G. 2025. Doubly fed induction generator frequency regulation enhancement using combined inertia and proportional resonant controller. Processes 13 (5) , 1284. 10.3390/pr13051284

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Abstract

Power systems are currently undergoing a transition from centralized synchronous generators to decentralized non-synchronous generators that rely on renewable energy sources. This shift poses a challenge to system operators, as the high penetration levels of renewable energy introduce variability and changes in the physics of power systems. Load-frequency control is one of the biggest challenges faced by electrical grids, especially with increased wind energy penetration in recent years. The inertial controller is one of the methods used to support system frequency in variable-speed wind turbines. In this study, a proportional resonant (PR) controller was added to an inertial controller to achieve better frequency regulation by controlling the active power of the doubly fed induction generator (DFIG). First, the impact of the PR controller parameters on the frequency deviation, overshoot, settling time, and system stability was investigated to identify the optimal values that achieved the lowest frequency deviation while maintaining system stability. Second, the performance of the proposed method was compared that of the traditional method under different load perturbations. The results prove that improperly determining the proportional gain of the PR controller negatively affects system stability and frequency deviation. In addition, the results validate the hypothesis that the proposed method would provide fast frequency support for all the studied cases. The analysis and simulation of these scenarios were performed using the MATLAB/SIMULINK program.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Schools > Engineering
Publisher:	MDPI
Funders:	Northern Border University, Saudi Arabia
Date of First Compliant Deposit:	25 April 2025
Date of Acceptance:	21 April 2025
Last Modified:	28 May 2025 13:00
URI:	https://orca.cardiff.ac.uk/id/eprint/177922

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