Winds of Change: How Up-To-Date Forecasting Methods Could Help Change Brazilian Wind Energy Policy and Save Billions of US$

被引:4
作者
Bernardes, Fernando G., Jr. [1 ,2 ]
Vieira, Douglas A. G. [3 ]
Palade, Vasile [2 ]
Saldanha, Rodney R. [1 ,4 ]
机构
[1] Univ Fed Minas Gerais, Grad Program Elect Engn, Ave Antonio Carlos 6627, BR-31270901 Belo Horizonte, MG, Brazil
[2] Coventry Univ, Fac Engn Environm & Comp, Coventry CV1 5FB, W Midlands, England
[3] CEFETMG, PPMMC, Ave Amazonas 7675, BR-30510000 Belo Horizonte, MG, Brazil
[4] UFMG Fed Univ Minas Gerais, PPGEE, Ave Antonio Carlos 6627, BR-31270901 Belo Horizonte, MG, Brazil
关键词
energy policy-framework; wind energy; renewable energy; energy auctions; forecasting; electricity market; fuzzy time series; FUZZY TIME-SERIES; SOLAR; INFORMATION; POWER; ALGORITHM; INTERVALS; INDEX; STATE;
D O I
10.3390/en11112952
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
This paper proposes a revaluation of the Brazilian wind energy policy framework and the energy auction requirements. The proposed model deals with the four major issues associated with the wind policy framework that are: long-term wind speed sampling, wind speed forecasting reliability, energy commercialization, and the wind farm profitability. Brazilian wind policy, cross-checked against other countries policies, showed to be too restrictive and outdated. This paper proposes its renewal, through the adoption of international standards by Brazilian policy-makers, reducing the wind time sampling necessary to implement wind farms. To support such a policy change, a new wind forecasting method is designed. The method is based on fuzzy time series shaped with a statistical significance approach. It can be used to forecast wind behavior, by drawing the most-likely wind energy generation intervals given a confidence degree. The proposed method is useful to evaluate a wind farm profitability and design the biding strategy in auctions.
引用
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页数:22
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