Utilization of Blade Pitch Control in Low Wind Speed for Floating Offshore Wind Turbines

被引:0
|
作者
Bagherieh, Omid [1 ]
Nagamune, Ryozo [1 ]
机构
[1] Univ Calif Berkeley, Dept Mech Engn, Berkeley, CA 94720 USA
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper investigates a potential advantage of utilizing blade pitch control over the conventional fixed blade pitch strategy in low wind speed for horizontal-axis offshore floating wind turbines mounted on a barge platform. To examine the advantage, simulation studies with a 5MW wind turbine model in the software FAST are conducted. The generated power and the platform pitch movement are compared among closed-loop systems with three feedback controllers, that is, a baseline controller with fixed blade pitch, a linear-parameter-varying (LPV) controller with fixed blade pitch, and an LPV controller with varying blade pitch. The LPV controllers are gain-scheduled in terms of wind speed. For the design of LPV controllers, an LPV model which represents a family of linearized models of the nonlinear model in FAST over the low wind speed range is employed, and a well-known LPV controller design technique is applied to the LPV model. Simulation results demonstrate that the utilization of blade pitch control can reduce the platform pitch oscillation by more than 5 percent compared to fixed blade pitch strategies, possibly by slight reduction in power capture. This suggests the usage of blade pitch control in low wind speed when the cost decrease due to the load reduction outweighs the cost increase caused by the loss of power generation.
引用
收藏
页码:4354 / 4359
页数:6
相关论文
共 50 条
  • [1] Individual blade pitch control of floating offshore wind turbines
    Namik, H.
    Stol, K.
    [J]. WIND ENERGY, 2010, 13 (01) : 74 - 85
  • [2] Individual Blade Pitch Control with Wind Preview Information for Floating Offshore Wind Turbines
    Tsuya T.
    Hara N.
    Konishi K.
    [J]. IEEJ Transactions on Electronics, Information and Systems, 2022, 142 (09) : 1008 - 1020
  • [3] Integrated control of blade pitch and generator speed for floating wind turbines
    Ai, Shangmao
    Su, Jiayin
    Meng, Wei
    Yan, Yuning
    [J]. OCEAN ENGINEERING, 2024, 300
  • [4] INDIVIDUAL BLADE PITCH CONTROL FOR ALLEVIATION OF VIBRATORY LOADS ON FLOATING OFFSHORE WIND TURBINES
    Pustina, Luca
    Pasquali, Claudio
    Serafini, Jacopo
    Lugni, Claudio
    Gennaretti, Massimo
    [J]. PROCEEDINGS OF ASME 2021 40TH INTERNATIONAL CONFERENCE ON OCEAN, OFFSHORE AND ARCTIC ENGINEERING (OMAE2021), VOL 9, 2021,
  • [5] Performance analysis of individual blade pitch control of offshore wind turbines on two floating platforms
    Namik, H.
    Stol, K.
    [J]. MECHATRONICS, 2011, 21 (04) : 691 - 703
  • [6] Individual Blade Pitch Control of Floating Offshore Wind Turbines for Load Mitigation and Power Regulation
    Sarkar, Saptarshi
    Fitzgerald, Breiffni
    Basu, Biswajit
    [J]. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2021, 29 (01) : 305 - 315
  • [7] PI controller gain tuning with FRIT in collective blade pitch control of floating offshore wind turbines
    Kakita, Koki
    Hara, Naoyuki
    Konishi, Keiji
    [J]. 2015 15TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS), 2015, : 7 - 11
  • [8] Model Predictive Control for Floating Offshore Wind Turbines with Failure Compensation using Individual Blade Pitch Control
    Thiery, Flavien
    Hara, Naoyuki
    Konishi, Keiji
    [J]. 2015 15TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS), 2015, : 1469 - 1473
  • [9] Design and evaluation of blade pitch controller to reduce blade fatigue loads in floating offshore wind turbines: Comparison of individual blade pitch control and collective blade pitch control
    Suemoto, Hiroki
    Hara, Naoyuki
    Konishi, Keiji
    [J]. IEEJ Transactions on Electronics, Information and Systems, 2019, 139 (04) : 442 - 453
  • [10] A model reference adaptive control framework for floating offshore wind turbines with collective and individual blade pitch strategy
    Zhou, Yarong
    Bhowmick, Parijat
    Zhang, Lijun
    Chen, Li
    Nagamune, Ryozo
    Li, Ye
    [J]. OCEAN ENGINEERING, 2024, 291