Applications of extreme learning machine based neural network on wind turbine pitch angle control

Benefited from the advancement of modern science and technology, the wind energy has become an import source for electricity generation. However, the fluctuating nature of the wind has been a bottleneck for its widely application for years. In this report, a control strategy is designed to guarantee...

Full description

Saved in:

Bibliographic Details
Main Author:	Zhou, Kai.
Other Authors:	Wang Youyi
Format:	Final Year Project
Language:	English
Published:	2010
Subjects:	DRNTU::Engineering::Electrical and electronic engineering::Electric power::Auxiliaries, applications and electric industries
Online Access:	http://hdl.handle.net/10356/39498
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	Nanyang Technological University
Language:	English

id	sg-ntu-dr.10356-39498
record_format	dspace
spelling	sg-ntu-dr.10356-394982023-07-07T17:57:16Z Applications of extreme learning machine based neural network on wind turbine pitch angle control Zhou, Kai. Wang Youyi School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electric power::Auxiliaries, applications and electric industries Benefited from the advancement of modern science and technology, the wind energy has become an import source for electricity generation. However, the fluctuating nature of the wind has been a bottleneck for its widely application for years. In this report, a control strategy is designed to guarantee that a wind turbine can generate a stable output and also work in an optimal condition according to the variation of wind speed. Additionally, this design is based on neural network with Extreme Learning Machine algorithm, whose calculating speed is fast and performance is encouraging. To testify the feasibility of the design, simulation has been conducted through MATLAB and the results are show in the last part of the report. Bachelor of Engineering 2010-05-27T06:57:24Z 2010-05-27T06:57:24Z 2010 2010 Final Year Project (FYP) http://hdl.handle.net/10356/39498 en Nanyang Technological University 85 p. application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
language	English
topic	DRNTU::Engineering::Electrical and electronic engineering::Electric power::Auxiliaries, applications and electric industries
spellingShingle	DRNTU::Engineering::Electrical and electronic engineering::Electric power::Auxiliaries, applications and electric industries Zhou, Kai. Applications of extreme learning machine based neural network on wind turbine pitch angle control
description	Benefited from the advancement of modern science and technology, the wind energy has become an import source for electricity generation. However, the fluctuating nature of the wind has been a bottleneck for its widely application for years. In this report, a control strategy is designed to guarantee that a wind turbine can generate a stable output and also work in an optimal condition according to the variation of wind speed. Additionally, this design is based on neural network with Extreme Learning Machine algorithm, whose calculating speed is fast and performance is encouraging. To testify the feasibility of the design, simulation has been conducted through MATLAB and the results are show in the last part of the report.
author2	Wang Youyi
author_facet	Wang Youyi Zhou, Kai.
format	Final Year Project
author	Zhou, Kai.
author_sort	Zhou, Kai.
title	Applications of extreme learning machine based neural network on wind turbine pitch angle control
title_short	Applications of extreme learning machine based neural network on wind turbine pitch angle control
title_full	Applications of extreme learning machine based neural network on wind turbine pitch angle control
title_fullStr	Applications of extreme learning machine based neural network on wind turbine pitch angle control
title_full_unstemmed	Applications of extreme learning machine based neural network on wind turbine pitch angle control
title_sort	applications of extreme learning machine based neural network on wind turbine pitch angle control
publishDate	2010
url	http://hdl.handle.net/10356/39498
_version_	1772826941213114368

Applications of extreme learning machine based neural network on wind turbine pitch angle control

Similar Items