Step and Search Control Method to Maximum Power Point Tracking of PMSG Wind Generator

Step and Search Control Method to Maximum Power Point Tracking of PMSG Wind Generator

at the moment the position of the renewable energy is so important because of the environment pollution and the limitation of fossil fuels in world. Energy can be generated more and more by the renewable sources, but the fossil fuels are nonrenewable. One of the most important renewable sources is the wind energy. The wind energy is an appropriate alternative source of fossil fuel. The replacement rate of renewable energy to fossil fuels is rising, although the production cost is above fossil fuels. To further reduce cost of wind production, many methods have been proposed. One of the appropriate methods is the maximum power point tracking strategy. In this paper, tip speed ratio control is first applied for maximum power point tracking. Then, speed sensor less algorithm is used to avoid the measurement of actual values. And TSR control is still used to test the estimate accuracy. Based on the two methods, fuzzy based hill climbing method is designed. The computer simulations with a 8 KW wind power generation system are performed. The results of simulation from the proposed control method are compared with those obtained using the two existing methods. The proposed method generally outperformed the two existing methods, especially when the operating point is far away from the maximum point. The control method also has similar stable characteristic when the operating point is close to the peak point in comparison with existing methods. The proposed fuzzy method is computationally efficient and can be easily implemented in real-time.