Individual pitch control of wind turbine based on loads estimation

被引:0
|
作者
Jelavic, Mate [1 ]
Petrovic, Vlaho [1 ]
Peric, Nedjeljko [1 ]
机构
[1] Univ Zagreb, Fac Elect Engn & Comp, Zagreb 41000, Croatia
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The use of wind energy for generating electricity has been constantly and rapidly increasing over last few decades and this growth is expected to continue. In order to enable even greater role of wind energy in power production wind turbines' sizes and rated powers must increase. As wind turbines grow in size they are subjected to extreme loads and fatigue caused by uniform turbulent winds. This prevents further growth of wind turbines. Therefore control methods that assure loads reduction become a necessity. In this paper methods for wind turbine loads reduction based on individual pitch control are explored. To overcome problems related to needed measurements of blade loads a method for their estimation based on loads measured on the fixed parts of the structure is proposed.
引用
收藏
页码:179 / 185
页数:7
相关论文
共 50 条
  • [21] Individual Pitch Control of Large-scale Wind Turbine Based on Load Calculation
    Gao, Feng
    [J]. PROCEEDINGS OF THE 10TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA 2012), 2012, : 3384 - 3388
  • [22] Proportional resonant individual pitch control for mitigation of wind turbines loads
    Zhang, Yunqian
    Chen, Zhe
    Cheng, Ming
    [J]. IET RENEWABLE POWER GENERATION, 2013, 7 (03) : 191 - 200
  • [23] Integrated pitch control for wind turbine based on a novel pitch control system
    Yin, Xiu-xing
    Lin, Yong-gang
    Li, Wei
    Gu, Ya-jing
    [J]. JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY, 2014, 6 (04)
  • [24] Vertical Axis Wind Turbine with Individual Active Blade Pitch Control
    Zhang, Lixun
    Liang, Yingbin
    Li, Erxiao
    Zhang, Song
    Guo, Jian
    [J]. 2012 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), 2012,
  • [25] Aerodynamic Modeling Research of Wind Turbine Suitable for Individual Pitch Control
    Gao, Feng
    [J]. COMPUTING, CONTROL AND INDUSTRIAL ENGINEERING IV, 2013, 823 : 175 - 179
  • [26] The Impact of Pitch-To-Stall and Pitch-To-Feather Control on the Structural Loads and the Pitch Mechanism of a Wind Turbine
    Samani, Arash E.
    De Kooning, Jeroen D. M.
    Kayedpour, Nezmin
    Singh, Narender
    Vandevelde, Lieven
    [J]. ENERGIES, 2020, 13 (17)
  • [27] Wind Turbine Pitch Angle Control Based on ANFIS
    Xiao Jun
    Xiao Jiang
    Chen Wei
    [J]. ADVANCES IN ENERGY SCIENCE AND TECHNOLOGY, PTS 1-4, 2013, 291-294 : 507 - +
  • [28] Wind turbine load reduction based on 2DoF robust individual pitch control
    Tang, Shize
    Tian, De
    Wu, Xiaoxuan
    Huang, Mingyue
    Deng, Ying
    [J]. RENEWABLE ENERGY, 2022, 183 : 28 - 40
  • [29] Wind Turbine Loads Reduction using Feedforward Feedback Collective Pitch Control Based on the Estimated Effective Wind Speed
    Meng, Fanzhong
    Wenske, Jan
    Gambier, Adrian
    [J]. 2016 AMERICAN CONTROL CONFERENCE (ACC), 2016, : 2289 - 2294
  • [30] Individual Pitch Control of Wind Turbines Based on SVM Load Estimation and LIDAR Measurement
    Wang, Xin
    Zhou, Jianshu
    Qin, Bin
    Luo, Yingbing
    Hu, Chenjuan
    Pang, Jiameng
    [J]. IEEE ACCESS, 2021, 9 : 143913 - 143921