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Title: Applications of extreme learning machine based neural network on wind turbine pitch angle control
Authors: Zhou, Kai.
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Electric power::Auxiliaries, applications and electric industries
Issue Date: 2010
Abstract: 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.
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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