Abstract :

The Increasing Penetration Of Renewable Energy Sources Into Modern Power Grids Demands Highly Reliable And Stable Control Strategies For Grid-forming Voltage Source Converters (VSCs). Conventional Control Techniques Often Face Limitations Under Nonlinear System Dynamics, Grid Disturbances, And Uncertain Operating Conditions. To Address These Challenges, This Paper Presents An Adaptive Fuzzy Logic Control (AFLC) Strategy For Gridforming VSCs, Enabling Enhanced Stability, Robustness, And Adaptability. The Proposed Controller Integrates Fuzzy Logic With Adaptive Learning Mechanisms To Dynamically Adjust Control Parameters In Real Time, Thereby Ensuring Reliable Grid Synchronization, Frequency Stability, And Voltage Regulation Under Variable Load And Fault Conditions. Unlike Fixedparameter Conventional Controllers, The AFLC Method Provides Superior Performance In Handling Model Uncertainties, Unbalanced Grid Faults, And High Renewable Penetration Scenarios. Simulation Studies And Comparative Analysis With Traditional Proportional–Integral (PI) Controllers Demonstrate The Effectiveness Of The Proposed Scheme, Showing Improved Transient Response, Reduced Total Harmonic Distortion (THD), And Enhanced Resilience Against Grid Disturbances. This Adaptive Fuzzy-based Strategy Offers A Scalable And Intelligent Solution For Next-generation Smart Grids, Contributing To Stable And Efficient Renewable Energy Integration.

Published:

25-10-2025

Issue:

Vol. 25 No. 10 (2025)

Page Nos:

110-117

Section:

Articles

License:

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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