Study on Energy Loss Calculation During Wind Power Curtailment Based on Mast Data

被引:0
|
作者
Zhao Yan-qing [1 ]
Feng Shuang-lei [1 ]
Ma Suo-ming
Zhao Jun-qi
Sun Rong-fu
Yang Chao-ying
机构
[1] China Elect Power Res Inst, Beijing, Peoples R China
关键词
Wind power curtailment; Theoretical power; Mast trend extrapolation; SURFACE-ROUGHNESS; PROFILES; VELOCITY;
D O I
暂无
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
To assess the energy loss of wind farm during wind power curtailment accurately, a method to calculate wind power curtailment of a wind farm, which is called mast trend extrapolation, is proposed. Wind speed of mast nearby is used as input data in this method. Considering effects of wind farms area topography, roughness change and wake effect on local wind speed in the wind farm, this approach builds wind farm numerical model. By using theory of micro meteorology, mast wind speed is extrapolated to each turbine at hub height. The turbine power is available combining the theory power curve. Wind farm theory power is accumulated by each turbine's theory power. And then wind power curtailment is available. From the essence of development and change of wind speed, the approach according to the actual characteristics of wind farm, through the data modeling, simulation calculate the actual flow of wind speed in wind farms. Applying both mast trend extrapolation method and general sample turbine method in wind power curtailment calculation of a wind farm, it shows that the calculation precision of mast trend extrapolation method is higher than sample turbine method, which can meet the requirement of engineering application.
引用
收藏
页数:9
相关论文
共 50 条
  • [1] Statistical Method for Energy Loss During Wind Power Curtailment Based on Nacelle Anemometry Data
    Zhao, Yanqing
    Feng, Shuanglei
    Jiang, Wenling
    Wang, Bo
    2015 4TH INTERNATIONAL CONFERENCE ON ENERGY AND ENVIRONMENTAL PROTECTION (ICEEP 2015), 2015, : 2478 - 2483
  • [2] Analysis of the reduced wake effect for available wind power calculation during curtailment
    Bontekoning, M. P. C.
    Perez-Moreno, S. Sanchez
    Ummels, B. C.
    Zaaijer, M. B.
    WAKE CONFERENCE 2017, 2017, 854
  • [3] The optimal operation of energy storage in a wind power curtailment scheme
    Gill, S.
    Ault, G. W.
    Kockar, I.
    2012 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING, 2012,
  • [4] Dispatching method of wind power curtailment based on electric-thermal combined energy storage
    Cui Y.
    Ji Y.
    Zhong W.
    Cui W.
    Xu B.
    Zhao Y.
    Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2021, 42 (12): : 192 - 199
  • [5] Energy Based Wind Curtailment Minimization in Short-term Generation Scheduling of Power System
    Yuan, Wei
    Zhai, Qiaozhu
    2015 CHINESE AUTOMATION CONGRESS (CAC), 2015, : 1394 - 1399
  • [6] Simulating the influences of bat curtailment on power production at wind energy facilities
    Hayes, Mark A.
    Lindsay, Stephen R.
    Solick, Donald I.
    Newman, Christian M.
    WILDLIFE SOCIETY BULLETIN, 2023, 47 (01):
  • [7] Distribution network energy loss calculation method considering wind power integration
    Wu, Jiasi
    Li, Mei
    Zhang, Bu-han
    Ruan, Bo
    Yu, Dehua
    2015 5TH INTERNATIONAL CONFERENCE ON ELECTRIC UTILITY DEREGULATION AND RESTRUCTURING AND POWER TECHNOLOGIES (DRPT 2015), 2015, : 797 - 801
  • [8] Optimal dispatching of tower elevator power supply considering minimum loss of wind power curtailment
    Xie, Lirong
    Fan, Weiming
    Chao, Qin
    Li, Yongdong
    Li, Jinwei
    Zhan, Feifan
    Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2019, 40 (05): : 1414 - 1422
  • [9] Configuration Method of Energy Storage for Wind Farms Considering Wind Power Uncertainty and Wind Curtailment Constraint
    Yang L.
    Cao Y.
    Wei W.
    Chen L.
    Mei S.
    Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2020, 44 (16): : 45 - 52
  • [10] Optimal Energy Storage Sizing based on Wind Curtailment Reduction
    Moradzadeh, Mohammad
    Van de Vyver, Jan
    Vandevelde, Lieven
    2014 INTERNATIONAL CONFERENCE ON RENEWABLE ENERGY RESEARCH AND APPLICATION (ICRERA), 2014, : 331 - 335