Indiana University-Purdue University Indianapolis (IUPUI) / This thesis focuses on optimization of wind power tracking control systems in
order to capture maximum wind power for the generation system. In this work, a
mathematical simulation model is developed for a variable speed wind turbine power
generation system. The system consists a wind turbine with necessary transmission
system, and a permanent magnet synchronous generator and its vector control system.
A new fuzzy based hill climbing method for power tracking control is proposed
and implemented to optimize the wind power for the system under various conditions.
Two existing power tracking control methods, the tip speed ratio (TSR) control
method and the speed sensorless control method are also implemented with the wind
power system. The computer simulations with a 5 KW wind power generation system
are performed. The results from the proposed control method are compared
with those obtained using the two existing methods. It is illustrated that the proposed
method generally outperforms the two existing methods, especially when the
operating point is far away from the maximum point. The proposed control method
also has similar stable characteristic when the operating point is close to the peak
point in comparison with the existing methods. The proposed fuzzy control method
is computationally efficient and can be easily implemented in real-time.
| Identifer | oai:union.ndltd.org:IUPUI/oai:scholarworks.iupui.edu:1805/2981 |
| Date | 27 September 2012 |
| Creators | Xue, Jie |
| Contributors | Chen, Yaobin, Li, Lingxi, Rovnyak, Steven |
| Source Sets | Indiana University-Purdue University Indianapolis |
| Language | en_US |
| Detected Language | English |
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