Being stochastic phenomena, magnitude and direction of wind spectra, available at a site, may vary with time which results in frequent changes in the output from the wind turbines. This frequent fluctuation in the output from the turbines makes the grid integration of wind energy systems rather challenging. Understanding the ramping behaviour of wind turbines under fluctuating wind conditions is essential for the efficient management of the power grids integrated with different generating options. In this paper, a mathematical model is presented to estimate the ramping behaviour of wind turbines by considering the Weibull probability distribution of wind velocity and the power curve analytics of the wind turbine. The developed model was tested with the real performance data from a wind turbine of 2MW rated capacity. By analyzing the Normalized Root Mean Squared Error between the estimated and observed performances, it was found that the model could predict the ramp events with an accuracy of around 85 per cent.