Quantitative comparison of wind turbine generators using numerical modeling

Pao Yue-kong Library Electronic Theses Database

Quantitative comparison of wind turbine generators using numerical modeling

 

Author: Zhang, Kang
Title: Quantitative comparison of wind turbine generators using numerical modeling
Degree: M.Sc.
Year: 2015
Subject: Wind turbines -- Mathematical models.
Electric power systems -- Mathematical models.
Hong Kong Polytechnic University -- Dissertations
Department: Faculty of Engineering
Pages: v , 69 pages : illustrations (some color)
Language: English
InnoPac Record: http://library.polyu.edu.hk/record=b2818306
URI: http://theses.lib.polyu.edu.hk/handle/200/8056
Abstract: Wind power is a kind of renewable clean energy. Both the environmental benefits and social benefits of wind power are significant when comparing with electricity generation of thermal power, nuclear power, and water power. However, according to the nature of wind, when it is used to produce energy, there is a problem that the input is not stable. To adjust the changing wind speed and export a constant frequency to the grid, wind turbines and generators in different topologies are developed. In wind turbine system, generator is a very important part, it can largely impact the performance of the whole wind generation system. This paper is to have a quantitative comparison on the performance of several commonly used high-power wind turbine generator using numerical modeling. Since variable-speed constant-frequency mode is the trend of wind power, this paper will focus on analyzing the variable speed scheme. There are 3 kinds of wind turbine generators involved, including Doubly-Fed Induction Generator (DFIG), Single Stator Brushless Doubly-Fed Reluctance Generator (BDFRG) and Dual Stator Brushless Doubly-Fed Reluctance Generator (DS-BDFRG). In engineering practice, most of analysis are realized with the use of finite element programs. In this paper, the finite element program ANSOFT Maxwell is used to analysis the performance of the generators.

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