Power regulation of variable speed multi rotor wind systems using fuzzy cascaded control

Area of Science:

• Electrical Engineering
• Renewable Energy Systems
• Control Systems

Background:

• Integrating wind energy into the electrical grid requires maintaining high power quality.
• Variable-speed wind turbines, particularly multi-rotor wind turbine (MRWT) systems, present control challenges for grid compliance.

Purpose of the Study:

• To propose and evaluate a cascaded fuzzy power control (CFPC) strategy for improving the power quality of a doubly-fed induction generator (DFIG)-based MRWT system.
• To demonstrate the effectiveness of CFPC compared to traditional direct power control with PI controllers (DPC-PI).

Main Methods:

• Implementation of a model-independent CFPC strategy applied to the rotor side converter of a DFIG-based MRWT.
• Simulation in MATLAB environment under variable wind speed conditions.
• Comparative analysis of CFPC against DPC-PI, focusing on total harmonic distortion, reactive power response time, active power ripples, and steady-state error.

Main Results:

• CFPC significantly reduced total harmonic distortion by 25%, 30.18%, and 47.22%.
• Reactive power response time was improved by 83.76%, 65.02%, and 91.42%.
• Active power ripples were reduced by 37.50%, 32.20%, and 38.46%, with substantial reductions in reactive power steady-state error (86.60%, 57.33%, 72.26%).

Conclusions:

• The proposed CFPC technique offers a simple, high-performance, and robust solution for enhancing power quality in DFIG-based MRWT systems.
• CFPC demonstrates superior performance over DPC-PI in reducing harmonics, improving power response, and minimizing errors.
• The CFPC control strategy is a reliable option for future wind energy integration applications.