Optimization of Wind Power Using Artificial Neural Network (ANN)

Wind energy is one of the best alternatives for the fossil fuels in the field of electricity generation. They have many advantages, when compared to the fossil fuels, such as it is available naturally, does not have harmful effect on the environment and will not be get depleted with the passage of time. Besides all these advantages of the wind energy, when the wind is used for the generation of electrical energy, there are lot of issues related to wind like fluctuations in wind speed which cause major problems in power generation. Variation in wind speed can also cause power fluctuation, which will cause discomfort at the consumer level. Many developing nations have now moved towards wind energy to meet their growing energy demands. The problem of power output variation of wind farms can be optimized by various optimization techniques like particle swarm optimization, genetic algorithm and artificial neural network. In this study, the technique of artificial neural network is being used for the optimization of wind power. In the neural network toolbox, the optimum value for wind power is first determined individually for three different input variables (wind speed, tip-to-speed ratio and coefficient of power) and then the final optimum values are determined by using all these parameters as input variables at the same time.