Coordinated Control Strategy of MPPT and Pitch angle of Wind Turbine Generator Based on Neural Network

In order to maximize the exploited wind power and benefit from a wide range of the wind speed, a novel combined maximum power point tracking (MPPT)-Pitch angle control is developed based on Neural Network (ANN), in order to solve the previous control strategy, heavy workload, complicated process and other issues. It allows the generator to work at the optimum speed when the wind speed is below the rated wind speed, and output the constant power when wind speed is higher than the rated wind speed. The whole process is realized by an artificial neural network controller. Based on Matlab, establish a variable speed constant frequency doubly fed wind turbine model. Simulation and analysis of the wind speed range changes near the rated, using combined maximum power point tracking (MPPT) - pitch control strategy can achieve fast and accurate tracking and constant output power, and has good dynamic performance and fast tracking characteristic.