Enhanced DC-Link Voltage Regulation of Autonomous Squirrel Cage Generators with Iron Losses Consideration in Wind-Powered Conversion Plants using Direct Power Control, Type-2 Fuzzy Logic Control, and Flower Pollination Algorithm Optimization

Abstract

Autonomous Squirrel Cage Generators (ASCGs) are largely exploited in sustainable energy plants, given their simplicity and low cost. However, regulating the DC-link voltage (V-DC) of ASCGs is essential for stable and reliable operation, especially under varying load and speed conditions. This essay provides an innovative approach for controlling DC-link voltage of three-phase ASCG using Direct-Power-Controller (DPC) combined with Type-2 Fuzzy- Logic Controller (T2FLC), and enhanced by the Flower-Pollination-Algorithm (FPA). T2FLC is known for its ability to handle uncertainties and variations in input variables, making it more robust than traditional PI and Type-1 Fuzzy- Logic-Controller (T1FLC) controllers. The proposed T2FLC+DPC controller is optimized using the FPA, a nature-inspired optimization technique that has shown superior performance in various engineering applications. Simulation models developed in MATLAB demonstrate that the proposed controller achieves better DC-link voltage regulation than traditional PI and T1FLC controllers due to its robustness and adaptability in handling nonlinear systems like ASCGs. The FPA optimization method enhances the controller's performance by optimizing the T2FLC control parameters, leading to improved ASCG performance. This study provides a promising approach for regulating the DC voltage of ASCG, which may be useful for researchers and engineers involved in renewable energy systems and power electronics control.