Maximum Power Point Tracking for a Wind Energy Generation System
- Resource Type
- Conference
- Authors
- Araneda, Fernando; Figueroa, Brayan; Mangas, Hernan; Vera, Karina; Rohten, Jaime; Quezada, Daniel
- Source
- 2022 IEEE International Conference on Automation/XXV Congress of the Chilean Association of Automatic Control (ICA-ACCA) Automation/XXV Congress of the Chilean Association of Automatic Control (ICA-ACCA), 2022 IEEE International Conference on. :1-5 Oct, 2022
- Subject
- Bioengineering
Communication, Networking and Broadcast Technologies
Engineering Profession
Geoscience
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Wind energy generation
Maximum power point trackers
Renewable energy sources
Wind energy
Rotors
DC-DC power converters
Automatic generation control
Boost Converter
MPPT Algorithm
Wind Energy.
- Language
Wind energy is one of the most important sources of renewable energy because it has great characteristics such as being clean and easy to use. However, not all the energy received by the turbine can be transformed to electric power. To obtain maximum power extraction, many algorithms have been implemented using the different characteristics of the wind energy generation system. This paper proposes a Perturb and Observe algorithm on the angular velocity of the turbine rotor to achieve tracking of the maximum power point. A DC-DC converter (Boost Converter) was used in conjunction with the MPPT algorithm which controls its duty cycle, adjusting the input voltage to reach maximum power. The effectiveness is corroborated on PSIM under different environmental conditions.