Whale Optimization-Based PI Control for DFIG Wind Energy Systems with Modular Multilevel Grid-Side Converter

Adapa Sudheer Kumar, Dondapati Ravi Kishore, Korada Praveen Kumar, Setty Sriram, Peethala Vamsi

Abstract


Wind energy is an effetcual and sustainable Renewable Energy Source (RES) for generating electrical power. With the global expansion of Wind Energy Conversion System (WECS), there is a growing demand for high-quality and reliable power output to ensure seamless grid integration. However, conventional control strategies face significant challenges due to the intermittent nature of wind, leading to issues such as instability, power quality degradation, and inadequate grid compliance. To conquer these challenges, this work propose a novel control framework for DFIG-based WECS using a Whale Optimization Algorithm (WOA)-tuned Proportional-Integral (PI) controller. The proposed system employs a Modular Multilevel Converter (MMC) as the grid-side converter, which ensures effective voltage regulation, harmonic reduction, and improved power quality. The Rotor-Side Converter (RSC) controls active and reactive power, while the MMC-based Grid-Side Converter (GSC) stabilizes DC-link voltage and enhances the dynamic response. The WOA-optimized PI controller dynamically adjusts control parameters, enabling better handling of wind fluctuations and grid disturbances. The proposed topology is simulated in MATLAB, demonstrate that the designed method significantly improves the system's performance by minimizing THD value of 0.62%, reducing steady-state errors, and reduced ripples.

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References


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DOI (PDF): https://doi.org/10.20508/ijsmartgrid.v9i2.413.g384

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