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
  • [31] Reducing wind power curtailment by risk-based transmission expansion planning
    Liu, Dundun
    Zhang, Shenxi
    Cheng, Haozhong
    Liu, Lu
    Zhang, Jianping
    Zhang, Xiaohu
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2021, 124
  • [32] Influence of high-resolution data on accurate curtailment loss estimation and optimal design of hybrid PV-wind power plants
    Klyve, Oyvind Sommer
    Grab, Robin
    Olkkonen, Ville
    Marstein, Erik Stensrud
    APPLIED ENERGY, 2024, 372
  • [33] Calculation model and method of output power loss of wind farms and wind turbines
    Mei, Huawei
    Mi, Zengqiang
    Bai, Junliang
    Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2014, 38 (02): : 12 - 16
  • [34] A Study about the Curtailment for Wind Turbines Considering Power Sensitivity of Distribution System
    Nam I.
    Yoo B.
    Kim J.-H.
    Jung S.
    Transactions of the Korean Institute of Electrical Engineers, 2022, 71 (03): : 495 - 502
  • [35] Novel Curtailment Control Strategy for Wind Power Plants Based on the SQP Optimization
    Seo, Kangwon
    Choi, Donghee
    Lim, Sunghoon
    JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, 2024, 19 (02) : 909 - 918
  • [36] A proposal of linear programming based method for achieving fair curtailment of wind power generation and conditions associated with the fair curtailment
    Saitoh H.
    Sugawara D.
    Wayama W.
    Sekinuma K.
    IEEJ Transactions on Power and Energy, 2021, 141 (07) : 506 - 519
  • [37] An EV-Based Wind Power Curtailment Scheme Utilizing the Power Sensitivity of the Distribution Network
    Nam, Iseul
    Kim, Jeong-Hwan
    Yoo, Yeuntae
    Jung, Seungmin
    IEEE ACCESS, 2022, 10 : 61124 - 61134
  • [38] The Role of Machine Learning-based Surrogate Models for Wind Power Curtailment Prediction from Electricity Market Data
    Iuliano, Silvia
    De Caro, Fabrizio
    Vaccaro, Alfredo
    2024 INTERNATIONAL CONFERENCE ON SMART ENERGY SYSTEMS AND TECHNOLOGIES, SEST 2024, 2024,
  • [39] Wind energy potential assessment based on wind speed, its direction and power data
    Zhiming Wang
    Weimin Liu
    Scientific Reports, 11
  • [40] Wind energy potential assessment based on wind speed, its direction and power data
    Wang, Zhiming
    Liu, Weimin
    SCIENTIFIC REPORTS, 2021, 11 (01)