Maximum power point tracking dataset for a wind energy conversion system based on a reverse-controller for a...

Area of Science:

• Electrical Engineering
• Renewable Energy Systems
• Control Systems

Background:

• Standalone Wind Energy Conversion Systems (WECS) require efficient power extraction.
• Type IV WECS with full-rated converters offer advanced control capabilities.
• Maximum Power Point Tracking (MPPT) is crucial for optimizing energy yield.

Purpose of the Study:

• To present an experimental database for a novel MPPT controller.
• To evaluate the performance of the MPPT controller in a Type IV WECS.
• To provide a resource for developing advanced wind energy optimization algorithms.

Main Methods:

• Experimental setup of a direct-drive, full-variable-speed, full-rated converter Type IV WECS.
• Control of a multilevel boost converter to adjust generator speed and maximize power.
• Data acquisition of key parameters including speed, voltage, current, and power coefficients.
• Utilized a real-time Linux platform for emulation, control, and data collection.
• Data analysis using MATLAB to assess controller performance.

Main Results:

• The database contains comprehensive experimental data for WECS operation.
• Measurements include generator angular speed, output current and voltage, power coefficient, tip speed ratio, duty cycle, and output power.
• The MPPT controller demonstrated effectiveness in maximizing power extraction.

Conclusions:

• The experimental database serves as a valuable resource for researchers in wind energy.
• The findings support the development of advanced algorithms for wind power optimization.
• The presented controller design is effective for standalone Type IV WECS.