Abstract
In this study, a power compensation control algorithm was designed and validated for commercial 100 kW medium wind turbine models for power compensation due to additional generator loss. Generally, torque control considering generator efficiency is applied to a controller of a medium wind turbine; however, a control corresponding to a decrease in generator efficiency due to the surrounding environment is not possible. There is a possibility that an additional generator loss may occur due to the surrounding environment of the wind turbine already installed, and accordingly, a power compensation control algorithm is required because power is expected to decrease. The power compensation control algorithms may be divided into three methods according to a control strategy, and three power compensation control algorithms were explained and designed. The proposed power compensation control algorithms were validated using DNV’s Bladed program. The simulation conditions were selected at an average wind speed of about 18 m/s and normal turbulence model (NTM) Class A, and the additional generator loss was assumed to be 15%. The simulation comparison showed that the original power control algorithm had a deviation of 15.00% from the rated power due to a 15% generator loss, and the designed three power compensation control algorithms had a deviation of up to 0.05%.
Funder
Korea Institute of Energy Technology Evaluation and Planning
Subject
Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction
Reference26 articles.
1. Global Wind Energy Council (2022). GWEC|Global Wind Report 2022, Global Wind Energy Council.
2. The design of closed loop controllers for wind turbines;Bossanyi;Wind Energy,2000
3. Nam, Y. (2013). Wind Turbine System Control, GS Intervision. [1st ed.].
4. Wind turbine control for load reduction;Bossanyi;Wind Energy,2003
5. Application and validation of peak shaving to improve performance of a 100 kW wind turbine;Kim;Int. J. Precis. Eng. Manuf. Green Technol.,2020