Optimization Control of Front-End Speed Regulation (FESR) Wind Turbine Based on Improved NSGA-II

doi:10.1109/ACCESS.2019.2908995

CORC > 兰州理工大学 > 兰州理工大学

	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
刊名	IEEE ACCESS
	2019
卷号	7 页码:45583-45593
关键词	Front-end speed regulation (FESR) wind turbine hybrid automata power control optimization control improved NSGA-II algorithm
ISSN号	2169-3536
DOI	10.1109/ACCESS.2019.2908995
英文摘要	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 2MWFESR. 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.
WOS研究方向	Computer Science ; Engineering ; Telecommunications
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000465273100001
内容类型	期刊论文
源URL	[http://119.78.100.223/handle/2XXMBERH/32241]
专题	兰州理工大学能源与动力工程学院
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.