Study on control for small wind turbine system

Nowadays, there are many methods used to control wind turbine system in order to get the maximum energy extracted and maintain rated output power. However, the methods are used must meet the requirement to ensure stability and optimal performance. This thesis presents the study on control for small wind turbine system. In this project, a control algorithm employs direct torque sensing, and it adjusts rotor speed by changing the dump load resistance using single fuzzy logic controller. Changes in the dump load vary the armature current, as well as the armature torque, which sets the rotor speed towards the desired level. The fuzzy relations between the variables and the fuzzy rules were stated in detail. A dynamics of 5kW small wind turbine using the permanent magnet DC generator is modelled and wind data generation with flexible wind field model is included. Simplified models representing rotor aerodynamics are used. The scheme is simulated in Matlab Simulink and results are presented.