In this section
@article{Gangopadhyay:2022:i10/1145-1153,
author = {Gangopadhyay, A and Sparks, NJ and Toumi, R and Seshadri, AK},
doi = {i10/1145-1153},
journal = {Current Science},
pages = {1145--1153},
title = {Risk assessment of wind droughts over India},
url = {http://dx.doi.org/10.18520/cs/v122/i10/1145-1153},
volume = {122},
year = {2022}
}
TY - JOUR
AB - Wind power growth makes it essential to simulateweather variability and its impacts on the electricitygrid. Low-probability, high-impact weather events suchas a wind drought are important but difficult to identify based on limited historical datasets. A stochasticweather generator, Imperial College Weather Generator (IMAGE), is employed to identify extreme eventsthrough long-period simulations. IMAGE capturesmean, spatial correlation and seasonality in wind speedand estimates return periods of extreme wind eventsover India. Simulations show that when Rajasthan experiences wind drought, southern India continues tohave wind, and vice versa. Regional grid-scale winddroughts could be avoided if grids are strongly interconnected across the country.
AU - Gangopadhyay,A
AU - Sparks,NJ
AU - Toumi,R
AU - Seshadri,AK
DO - i10/1145-1153
EP - 1153
PY - 2022///
SN - 0011-3891
SP - 1145
TI - Risk assessment of wind droughts over India
T2 - Current Science
UR - http://dx.doi.org/10.18520/cs/v122/i10/1145-1153
UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000829938100017&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR - https://www.currentscience.ac.in/Volumes/122/10/1145.pdf
UR - http://hdl.handle.net/10044/1/99100
VL - 122
ER -