Wind power growth makes it essential to simulate
weather variability and its impacts on the electricity
grid. Low-probability, high-impact weather events such
as a wind drought are important but difficult to identify based on limited historical datasets. A stochastic
weather generator, Imperial College Weather Generator (IMAGE), is employed to identify extreme events
through long-period simulations. IMAGE captures
mean, spatial correlation and seasonality in wind speed
and estimates return periods of extreme wind events
over India. Simulations show that when Rajasthan experiences wind drought, southern India continues to
have wind, and vice versa. Regional grid-scale wind
droughts could be avoided if grids are strongly interconnected across the country.