A technique of collecting online data for forecasting the output capacity of a remotely located WTG

Abstract

Unlike thermal generators, the forecasting of power output of a wind turbine generator (WTG), connected to the grid, is essentially required for the optimal operation of the power system as the output of a WTG randomly varies with the wind velocity and the density of air. The forecasting of the capacity output of a WTG requires the forecasted values of wind velocity and density of air. This paper develops a technique of collecting online data from the remote location of WTGs and presents an appropriate hardware model. The paper also presents test results of a prototype model.