Journal article
Forecasting high proportions of wind energy supplying the Brazilian Northeast electricity grid
Pieter de Jong, Roger Dargaville, Jeremy Silver, Steven Utembe, Asher Kiperstok, Ednildo Andrade Torres
Applied Energy | Elsevier | Published : 2017
Abstract
This study examines the optimal integration of high proportions of wind energy into an electricity grid which traditionally depends on hydroelectricity. Wind power in the Brazilian Northeast (NE) is expected to generate 57% of the NE’s electricity supply by 2020. As rainfall in the NE region is susceptible to climate change, it is anticipated that wind energy could substitute lost hydroelectric availability. The Weather Research and Forecasting (WRF) Model is used to simulate wind speeds for all of 2014 and calculate wind power across the entire NE region of Brazil. The NE region’s aggregate hourly wind generation and net load curve are then estimated for increasing wind penetrations using t..
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Grants
Awarded by Brazilian Federal Agency for Support and Evaluation of Higher Education/"Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior" - CAPES Brazil
Funding Acknowledgements
We would like to thank the Brazilian National Electricity System Operator/"Operador Nacional do Sistema Eletrico" (ONS) for providing detailed wind power generation data and electricity load data from the Northeast region of Brazil. We would also like to thank the Brazilian Federal Agency for Support and Evaluation of Higher Education/"Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior" - CAPES Brazil (grant numbers BEX 9706/2014-03 and 23038.011968/2016-13) for their financial support for this research.