Continuous wind power generation by wind velocity prediction using an optimized prediction error algorithm

Each and every developing technologies and all electronic gadgets work in electricity. Windmill plays a vital role in generating current electricity in non-renewable resource. Even though its capital is high and maintenance are too expensive we are moving towards the wind power plant. The major expansion is taking place occurring damages in gearbox and generator due to heavy wind speed. In these proposed system by using the probabilistic neural network (PNN). Controlling the rotation speed of the blades through changing the pitch angle by predicting the wind velocity. The OPEA algorithm is used for an effective predicting the wind speed. Through this we can produce the electricity even the wind speed is higher without any damages in gear and generator.