Optimization control of front-end speed regulation (FESR) wind turbine based on improved NSGA-II

doi:10.1109/ACCESS.2019.2908995

	Optimization control of front-end speed regulation (FESR) wind turbine based on improved NSGA-II
	Li Xiaoqing 1; Dong Haiying 1,2; Li Hongwei 1; Li Mingxue 3; Sun Zhiqiang 4
	2019
发表期刊	IEEE Access
ISSN	2169-3536
卷号	7 页码:45583-45593
摘要	Aiming at the power optimization control problem of front-end speed regulation (FESR) wind turbine, when the wind speed above rated wind speed, an optimal control strategy of variable pitch and variable torque based on improved NSGA-II algorithm is proposed. For this strategy, the reverse learning mechanism was used to initialize and evolve, and the crossover probability and mutation probability were adjusted dynamically based on the exponential distribution. A fuzzy comprehensive evaluation was used to get the best solution from the non-inferior solutions. The objective function was established upon the goals of the constant output speed for hydraulic speed converter and the smoothness of FESR's output power. And pitch angle and vane opening angle were optimized by the improved NSGA-II algorithm. Afterward, the optimization control algorithm has been validated through simulation experiment to a 2 MW FESR. The simulation results show that the output power of FESR was smoothed, and the speed fluctuation and power fluctuation of FESR were also reduced, better control performance is thus achieved. Therefore, it is feasible and effective to optimize the control of FESR by the improved NSGA-II algorithm proposed in this paper. © 2013 IEEE.
关键词	Fuzzy inference Genetic algorithms Hydraulic motors Optimal control systems Probability distributions Speed Speed regulators Wind Wind turbines Exponential distributions Fuzzy comprehensive evaluation Hybrid automatons Improved NSGA-II Optimal control strategy Optimization control Optimization control algorithm Speed regulation
DOI	10.1109/ACCESS.2019.2908995
收录类别	EI ; SCIE
语种	英语
资助项目	National Natural Science Foundation of China[61663019]
WOS研究方向	Computer Science ; Engineering ; Telecommunications
WOS类目	Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS记录号	WOS:000465273100001
出版者	Institute of Electrical and Electronics Engineers Inc.
EI入藏号	20191706822462
EI主题词	Power control
EI分类号	443.1 Atmospheric Properties - 615.8 Wind Power (Before 1993, use code 611 ) - 632.2 Hydraulic Equipment and Machinery - 721.1 Computer Theory, Includes Formal Logic, Automata Theory, Switching Theory, Programming Theory - 731.1 Control Systems - 731.3 Specific Variables Control - 732.1 Control Equipment - 922.1 Probability Theory
来源库	Compendex
分类代码	443.1 Atmospheric Properties - 615.8 Wind Power (Before 1993, use code 611 ) - 632.2 Hydraulic Equipment and Machinery - 721.1 Computer Theory, Includes Formal Logic, Automata Theory, Switching Theory, Programming Theory - 731.1 Control Systems - 731.3 Specific Variables Control - 732.1 Control Equipment - 922.1 Probability Theory
引用统计	被引频次：15[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/113997
专题	兰州理工大学能源与动力工程学院
通讯作者	Dong Haiying
作者单位	1.Lanzhou Jiaotong Univ, Sch Automat & Elect Engn, Lanzhou 730070, Gansu, Peoples R China; 2.Lanzhou Jiaotong Univ, Sch New Energy & Power Engn, Lanzhou 730070, Gansu, Peoples R China; 3.Lanzhou Univ Technol, Sch Energy & Power Engn, Lanzhou 730050, Gansu, Peoples R China; 4.Lanzhou Jiaotong Univ, Inst Railway Technol, Lanzhou 730000, Gansu, Peoples R China
推荐引用方式 GB/T 7714	Li Xiaoqing,Dong Haiying,Li Hongwei,et al. Optimization control of front-end speed regulation (FESR) wind turbine based on improved NSGA-II[J]. IEEE Access,2019,7:45583-45593.
APA	Li Xiaoqing,Dong Haiying,Li Hongwei,Li Mingxue,&Sun Zhiqiang.(2019).Optimization control of front-end speed regulation (FESR) wind turbine based on improved NSGA-II.IEEE Access,7,45583-45593.
MLA	Li Xiaoqing,et al."Optimization control of front-end speed regulation (FESR) wind turbine based on improved NSGA-II".IEEE Access 7(2019):45583-45593.