Estimation methods for wind power potential with practical case study

Abstract

The potential at any location of the world for wind power must be appraised before it can be used effectively. The current state of wind resource assessment studies is provided in order to find appropriate methodologies. The Weibull distribution is a two- or three-parameter distribution function by which the wind speed's frequency distribution can be fitted properly . This set of curves has been proven to fit wind speed readings extremely well. The Maximum likelihood method, the Modified maximum likelihood method, Error of approximation, Method of Moment and the Energy pattern factor method are all offered as methods for estimating the parameters of the Weibull wind speed distribution for wind energy analysis. A sample wind speed data set is used to demonstrate the use of each method, and statistical methods of analysis are used to compare the accuracy of each method. The research aids in identifying which method is most effective in finding Weibull distribution parameters and determining the wind energy resource. In grid-connected wind producing plants, wind power forecasting is crucial for demand-supply equilibrium. Many accurate and dependable weather forecasting models use a range of modern methodologies. The electricity prediction is primarily dependent on short-term to second-by-second forecasting, intermediate duration of 2-7 days and with long-term prediction and short-term duration of nearly 2 days, with the help of various models.