Application of IMC Control for Rotor Side Converter of DFIG WPGS

Article Preview

Abstract:

The principle of internal model control was analyzed, which was designed as the controller for the rotor side converter of double fed induction generator based wind power generation system, the stator flux-oriented vector control structure of DFIG with internal model control was designed, with the mathematical models of the DFIG under d-q coordinated system, combined with the principle of IMC control strategy, the inner current loop and outer speed control loop was designed, the simulation shows the control characteristic.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

4068-4071

Citation:

Online since:

February 2014

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Idsoe Nass B, Undeland T, Gjengedal T. Methods for reduction of voltage unbalance in weak grids connected to wind plants, IEEE workshop on wind power and the impacts on power systems, Norway, 2002: 17-18.

Google Scholar

[2] Wu Wang. Application of direct feedback linearization control for permanent magnet synchronous generator based wind energy conversion system. Applied Mechanics and Materials, Volume 313-314. 2012 2nd International Conference on Machinery Electronics and Control Engineering, ICMECE 2012 (12): 571-576.

DOI: 10.4028/www.scientific.net/amm.313-314.571

Google Scholar

[3] Yuan Xufeng, Sun Haishun, When Jinyu, et al. DFIG control design based on internal model controller, 2010 China International Conference on Electricity Distribution. pp.1-6.

Google Scholar

[4] Wang Wu, Su Liang-yu. Application of CMAC-PID Compound Control in PMLSM Servo System[J]. Advanced Materials Research Vols. 341-342(2012), pp.780-784.

DOI: 10.4028/www.scientific.net/amr.341-342.780

Google Scholar

[5] QU Dongcai, ZHAO Guorong. On IMC structure scheme based on ANN's inverse model for nonlinear system and simulation researches, Proceedings of the 29th Chinese Control conference, July 29-31, 2010, Beijing, China, pp.1168-1171.

Google Scholar

[6] Wang Wu, Wang Hong-ling, Bai Zheng-min. Fault Diagnosis of Three Level Inverter Based on Improved Neural Networks[J]. Lecture Notes in Electrical Engineering, 2011, Vol. 97, pp.55-62.

DOI: 10.1007/978-3-642-21697-8_8

Google Scholar

[7] HU Jiabing, Yi Kang He. Reinforced control and operation of DFIG-based wind generation system under unbalanced grid voltage conditions, IUEEE transaction on Energy Conversion. 2009, 24(4): 905-915.

DOI: 10.1109/tec.2008.2001434

Google Scholar

[8] Yongfeng Ren, Hanshan Li, Jie zhou, et al. Dynamic characteristics analysis of DIFG base on IMC, APPEEC 2009. pp.935-939.

Google Scholar

[9] Wang Wu, Chen Jing, Mao Lin. Two-Wheeled Mobile Robot Tracking Based on Iterative Learning Control, Advanced Materials Research Vols. 433-440 (2012), pp.5866-5870.

DOI: 10.4028/www.scientific.net/amr.433-440.5866

Google Scholar