Coordinated Control of Semi-submersible Floating Turbine With Model Predictive Control Strategy

被引：0
|
作者：
Song Z. [1 ]
Feng H. [1 ]
Yu Z. [1 ]
Hu Y. [1 ]
Liu J. [1 ]
机构：
[1] School of Control and Computer Engineering, North China Electric Power University, Changping District, Beijing
来源：
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2022年 / 42卷 / 12期
关键词：
Floating offshore wind power generation; Load reduction; Model predictive control; Multi-objective optimization; Wind-wave load;
D O I：
10.13334/j.0258-8013.pcsee.211805
中图分类号：
学科分类号：
摘要：
The study of floating offshore wind power generation considering the coordinated control of output power and mechanical load can help improve the economy and safety of deep-sea wind turbine operation. In order to realize the multi-objective control of floating wind turbine, the gain scheduling multi-model predictive controller (GM-MPC) was designed and built on Matlab/Simulink platform with NREL 5MW semi-submersible floating wind turbine as the research object. Based on the analysis of the open-loop dynamic performance of the wind turbine under each steady-state operating condition and the model linearization, a control model of the semi-submersible floating wind turbine was established and compared with the high-fidelity FAST mode simulation to verify the accuracy of the control model. Based on the model prediction, the optimal control quantity at each moment was optimally solved according to the actual wind turbine operating conditions and constraints and with the objective of reducing power fluctuation, tower load and the number of actuator actions, thus realizing the rolling optimization of GM-MPC. To demonstrate the effectiveness of the designed controller, a comparison experiment with the independent pitch control strategy based on the ant colony optimization algorithm was conducted under a variety of wind-wave combined load conditions. The results show that the designed control strategy enables the semi-submersible floating wind turbine to meet the power smoothness while reducing the mechanical load of the unit, so that it can adapt to the complex operating conditions in the deep sea environment. © 2022 Chin. Soc. for Elec. Eng.
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收藏
页码：4330 / 4338
页数：8
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