An Improved Flux Estimation Algorithm for Doubly-fed Induction Generator

碩士 === 國立臺灣大學 === 電機工程學研究所 === 101 ===   The main purpose of this thesis is to search for methods to improve the flux estimation of a doubly-fed induction generator to allow the rotor-side converter to control effectively the generator to reach its maximum power output and minimize the power loss. D...

Full description

Bibliographic Details
Main Authors: Yu-Chao Teng, 鄧宇超
Other Authors: Yuan-Yih Hsu
Format: Others
Language:zh-TW
Published: 2012
Online Access:http://ndltd.ncl.edu.tw/handle/46374173786021632996
Description
Summary:碩士 === 國立臺灣大學 === 電機工程學研究所 === 101 ===   The main purpose of this thesis is to search for methods to improve the flux estimation of a doubly-fed induction generator to allow the rotor-side converter to control effectively the generator to reach its maximum power output and minimize the power loss. Due to the problems such as initial value and DC component input of the pure integrator occurred in practical application and the deviation of the estimated flux phase and magnitude caused by the first-order low- pass filter, three algorithms were studied in this thesis to improve the efficiency of flux estimation.   First, features of wind turbine and doubly-fed induction generator were described and the way to reach decoupled real and reactive power control utilizing stator-flux oriented synchronous reference frame was explained. Then, from the deduced mathematical formula, the effects of the magnitude and phase angle of the magnetic flux estimation on the rotor-side converter control were studied. The problems associated with the existing flux estimation were identified, an alternative algorithm with the compensation structure and the quadrature detector was studied to improve the accuracy of flux estimation. Finally, MATLAB○R was employed to simulate and verify the performance of the flux estimation algorithms.