Forecasting high proportions of wind energy supplying the Brazilian Northeast electricity grid

被引:54
作者
de Jong, Pieter [1 ]
Dargaville, Roger [2 ]
Silver, Jeremy [2 ]
Utembe, Steven [2 ]
Kiperstok, Asher [1 ]
Torres, Ednildo Andrade [1 ]
机构
[1] Univ Fed Bahia, Escola Politecn PEI, Rua Aristides Novis 2, BR-40210630 Salvador, BA, Brazil
[2] Univ Melbourne, Earth Sci, Melbourne, Vic 3010, Australia
关键词
Wind power; Hydroelectricity; Solar power; Renewable energy integration; Forecasting; WRF; 100-PERCENT RENEWABLE ELECTRICITY; POWER-SYSTEMS; FLEXIBILITY; INTEGRATION; IMPACTS; STORAGE; MODEL; SIMULATION; RESOURCES; SCENARIOS;
D O I
10.1016/j.apenergy.2017.03.058
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 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 the planned rollout of wind farms in the region as a baseline. The maximum wind energy penetration in the region is estimated to be approximately 50% before significant amounts of energy would need to be curtailed or exported to other Brazilian regions. It was found that wind energy generation from coastal wind farms in the region best correlates with the hourly and monthly variations of the NE subsystem's load curve. Conversely, inland wind farms on the NE's elevated plateaus typically generate more power late at night, but have higher capacity factors. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:538 / 555
页数:18
相关论文
共 60 条
  • [1] Integration of Wind and Hydropower Systems: Results of IEA Wind Task 24
    Acker, Thomas L.
    Robitaille, Andre
    Holttinen, Hannele
    Piekutowski, Marian
    Tande, John Olav Giaever
    [J]. WIND ENGINEERING, 2012, 36 (01) : 1 - 17
  • [2] AEMO, 2013, 100 PER CENT REN STU
  • [3] Alliance for Water Efficiency, 2016, IRR SCHED INTR
  • [4] ALSTOM, 2010, ECO 80 PLATF ECO 80
  • [5] ANEEL - Agencia Nacional da Energia Eletrica Brazilian National Electricity Agency, 2016, BIG BANC INF GER
  • [6] [Anonymous], 2012, NRELTP6A20524091
  • [7] [Anonymous], 2008, ESTUD AVANCADOS
  • [8] Increasing wind power penetration into the existing Serbian energy system
    Bjelic, Ilija Batas
    Rajakovia, Nikola
    Cosic, Boris
    Duic, Neven
    [J]. ENERGY, 2013, 57 : 30 - 37
  • [9] WRF wind simulation and wind energy production estimates forced by different reanalyses: Comparison with observed data for Portugal
    Carvalho, D.
    Rocha, A.
    Gomez-Gesteira, M.
    Silva Santos, C.
    [J]. APPLIED ENERGY, 2014, 117 : 116 - 126
  • [10] A sensitivity study of the WRF model in wind simulation for an area of high wind energy
    Carvalho, David
    Rocha, Alfredo
    Gomez-Gesteira, Moncho
    Santos, Carlos
    [J]. ENVIRONMENTAL MODELLING & SOFTWARE, 2012, 33 : 23 - 34