Control Strategy of Maximum Wind Energy Capture of Direct-Drive Wind Turbine Generator Based on Neural-Network

CORC > 兰州理工大学 > 兰州理工大学

	Control Strategy of Maximum Wind Energy Capture of Direct-Drive Wind Turbine Generator Based on Neural-Network
	Ren, Y. F.; Bao, G. Q.
	2010
关键词	Wind power The permanent magnet synchronous generator Speed estimator Neural network
英文摘要	The wind power varies mainly depending on the wind speed. Many methods have been proposed to track the maximum power point (MPPT) of the wind, such as the fuzzy logic (FL), artificial neural network (ANN) and Neuro-Fuzzy. In this paper, a variable speed wind generator MPPT based on artificial neural network (ANN) is presented. It is designed as a combination of the generator speed forecasting model and neural network. The ANN is used to predict the optimal speed rotation using the variation of the wind speed and the generator speed as the inputs. The wind energy control system employs a permanent magnet synchronous generator connected to a DC bus using a power converter is presented. The performance of the control system with the proposed ANN controller is tested for wind speed variation. System simulation results have confirmed the functionality and performance of this method.
会议录	2010 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC)
会议录出版者	IEEE
会议录出版地	345 E 47TH ST, NEW YORK, NY 10017 USA
语种	英语
资助项目	National Nature Science Foundation of China[50877034]
WOS研究方向	Energy & Fuels ; Engineering
WOS记录号	WOS:000396400800218
内容类型	会议论文
源URL	[http://119.78.100.223/handle/2XXMBERH/37639]
专题	兰州理工大学
通讯作者	Ren, Y. F.
作者单位	Lan Zhou Univ Technol, Coll Elect & Informat Engn, Lanzhou, Peoples R China
推荐引用方式 GB/T 7714	Ren, Y. F.,Bao, G. Q.. Control Strategy of Maximum Wind Energy Capture of Direct-Drive Wind Turbine Generator Based on Neural-Network[C]. 见:.