Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Application of Fuzzy PI Control Algorithm as Stator Power Controller of a Double-Fed Induction Machine in Wind Power Generation Systems

Authors
Chung, Gyo-BumChoi, Jaeho
Issue Date
20-Jan-2009
Publisher
KOREAN INST POWER ELECTRONICS
Keywords
Wind power generation system; Double-fed induction machine; SPWM converter; Vector control; PQ control; DC voltage control; Fuzzy PI control; PSIM simulation
Citation
JOURNAL OF POWER ELECTRONICS, v.9, no.1, pp.109 - 116
Journal Title
JOURNAL OF POWER ELECTRONICS
Volume
9
Number
1
Start Page
109
End Page
116
URI
https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/21913
ISSN
1598-2092
Abstract
This paper addresses the output control of a utility-connected double-fed induction machine (DFIM) for wind power generation systems (WPGS). DFIM has a back-to-back converter to control outputs of DFIM driven by the wind turbine for WPGS. To supply commercially the power of WPGS to the grid without any problems related to power quality, the real and reactive powers (PQ) at the stator side of DFIM are strictly controlled at the required level, which in this paper is realized with the Fuzzy PI controller based on the field orientation control. For the Sinusoidal Pulse Width Modulation (SPWM) converter connected to the rotor side of DFIG to maintain the controllability of PQ at the state side of DFIM, the DC voltage of the DC link capacitor is also controlled at a certain level with the conventional Proportion-Integral (PI) controller of the real power. In addition, the power quality at the grid connected to the rotor side of DFIM through the back-to-back converter is maintained in a certain level with a PI controller of the reactive power. The controllers for the PQ at the stator side of DFIM, the DC link voltage of the back-to-back inverter and the reactive power at the grid connected to the rotor side of DFIM are designed and simulated in the PSIM program, of which the result verifies the performance of the proposed controllers.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Science and Technology > Department of Electronic and Electrical Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Chung, Gyo Bum photo

Chung, Gyo Bum
Science & Technology (Department of Electronic & Electrical Convergence Engineering)
Read more

Altmetrics

Total Views & Downloads

BROWSE