Maximum Power Extraction with Numerical Grey Relational Analysis Sensorless Controller for Wind-Turbine Generator

TFIR > Department of Electrical Engineering > conference > Item 987654321/1005

Please use this identifier to cite or link to this item: http://163.15.40.127/ir/handle/987654321/1005

Title:	Maximum Power Extraction with Numerical Grey Relational Analysis Sensorless Controller for Wind-Turbine Generator
Authors:	Chen, Jian Liung Lin, Chia-Hung Chang, Wei-Der Yau, Her-Terng 郭乃仁 Guo, Nai Ren (東方技術學院電機工程系)
Contributors:	東方技術學院電機工程系
Keywords:	Numerical Grey Relational Analysis(NGRA) Maximum Power Extraction Permanent-magnet Synchronous Generator(PMSG)
Date:	2008-06-27
Issue Date:	2010-12-24 16:28:38 (UTC+8)
Abstract:	This paper proposes numerical grey relational analysis (NGRA) based sensorless controllers for a small wind generation system. The maximum power of wind-turbine generator varies with the wind speed. Optimal wind energy extraction is operated in variable-speed variable-frequency model. The sensorless control strategies consist of two NGRAs for maximum power extraction. The first NGRA is used the generator output voltage to estimate the maximum power under various wind speed. Then according to maximum power, the convert duty cycle is adjusted by using the second NGRA. For a permanent-magnet synchronous generator (PMSG), experimental results are provided to show the effectiveness of the proposed model.
Relation:	SMCia 2008IEEE Conference on Soft Computing in Industrial Applications
Appears in Collections:	[Department of Electrical Engineering] conference

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