Gangopadhyay, A and Sparks, NJ and Toumi, R and Seshadri, AK (2022) Risk assessment of wind droughts over India. In: Current Science, 122 (10). pp. 1145-1153.
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Abstract
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 iden-tify based on limited historical datasets. A stochastic weather generator, Imperial College Weather Genera-tor (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 ex-periences wind drought, southern India continues to have wind, and vice versa. Regional grid-scale wind droughts could be avoided if grids are strongly inter-connected across the country.
Item Type: | Journal Article |
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Publication: | Current Science |
Publisher: | Indian Academy of Sciences |
Additional Information: | The copyright for this article belongs to the Indian Academy of Sciences. |
Keywords: | Decarbonization; Grid interconnections; Risk assessment; Stochastic weather generators; Wind drought |
Department/Centre: | Division of Mechanical Sciences > Divecha Centre for Climate Change Division of Mechanical Sciences > Centre for Atmospheric & Oceanic Sciences |
Date Deposited: | 29 Jun 2022 10:25 |
Last Modified: | 29 Jun 2022 10:25 |
URI: | https://eprints.iisc.ac.in/id/eprint/74092 |
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