Wind Power Generation System Optimal Control Based on Vector Control of Squirrel-Cage Induction Generator

Gang Sun; Wu Wang

doi:10.4028/www.scientific.net/AMM.303-306.1238

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 303-306Wind Power Generation System Optimal Control Based...

Wind Power Generation System Optimal Control Based on Vector Control of Squirrel-Cage Induction Generator

Abstract:

As the squirrel-cage induction generator (SCIG) system have been applied for wind power generation system (WPGS) for long time, the research for its control will enhance the control performance and instructive for another relative wind power system. The large power wind power generation system was constructed based on SCIG with vector control, the system was decoupled with rotor flux loop torque loop. the mathematical models of wind turbine subsystem, drive train subsystem, and SCIG subsystem was created respectively. the SCIG model and vector control strategy was taken with MATLAB S-function, the torque control loop, speed control loop, power control loop and the optimal control system was integrated at last, the simulation result shows this control system can realize optimal control for large wind energy conversion system which can effectively applied into SCIG wind power generation system for system modification.

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Periodical:

Applied Mechanics and Materials (Volumes 303-306)

Pages:

1238-1241

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.303-306.1238

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Online since:

February 2013

Authors:

Gang Sun, Wu Wang

Keywords:

Optimal Control, PID Control, Squirrel-Cage Induction Generator (SCIG), Vector Control (VC), Wind Power Generation System (WPGS)

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References

[1] BIANCHI F D, DE BATTISTE H, MANTZ R J. Wind Turbine control systems [M]. London: Springer, 2007, 60-160.

Google Scholar

[2] Parma G, Menezes B R, etc. Sliding mode neural network control of an inducton motor drive. International Jouranal of Adaptive Control and Signal Processing, 2003, 17(6): 501-508.

DOI: 10.1002/acs.758

Google Scholar

[3] ZHANG Tao, JIANG Jing-ping, ZHANG Guo-hong. Feedback linearization control of permanent magnet synchronous motor system[J]. Proceedings of the CSEE, 2001, 21(6): 40-43.

Google Scholar

[4] 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

[5] Wang wu, Bai Zheng-min, Yao ning. Simulation of Neural Network sliding Mode Control for Permanent Magnet Linear Synchronous Motor [J]. ELECTRIC MACHINES & CONTROL APPLICATION, 2011, 38(2): 22-25.

Google Scholar