Modeling and Control of a Small Wind Turbine
There has been unprecedented growth of wind turbine technologies over the last few decades for reducing the pressure on the ever-depleting fossil fuel as well as keeping the environment cleaner and healthier. The objective of this research is to design a dynamic controller for small wind turbines. Two different control strategies are used to design the controller for extracting maximum power from the small wind turbine. The controllers are simulated in Mat lab/Simulink environment. In the first algorithm (tip speed ratio control), the controller uses the wind speed and rotor speed information and controls the load in order to operate the wind turbine at an optimum tip speed ratio. The generator output is observed in varying wind condition as the furl angle increases and decreases. In the second method (hill-climbing control), the controller compares the output power of the turbine with the previous power and based on the comparison it controls the load. Using a hill-climbing algorithm the controller ensures the maximum power extraction from the wind, while the generator output is observed as the furl angle increase or decreases. A PID controller is used to control the load for the tip speed ratio strategy while a proportional controller for the hill-climbing strategy. Extensive simulation is required before deploying any installation of wind turbines due to involvement of cost, integrity and of all the most, efficiency. The objective of this research is to observe the different dynamic outputs of the system to ensure the effectiveness of the system.
30 Nov -0001
Electrical and Computer Engineering
Strategic Research Theme
Environment, Energy and Natural Resources