DocumentCode :
2129983
Title :
Fuzzy-logic-based maximum power point tracking strategy for Pmsg variable-speed wind turbine generation systems
Author :
Zeng, Qingrong ; Chang, Liuchen ; Shao, Riming
Author_Institution :
Dept. of Elec. & Comp. Eng., New Brunswick Univ., Fredericton, NB
fYear :
2008
fDate :
4-7 May 2008
Abstract :
In order to achieve maximum power point tracking (MPPT) for wind power generation systems, the rotating speed of wind turbines should be adjusted in the real time according to wind speeds. However, fast wind speed variations and heavy inertia compromise the MPPT control of a wind turbine. In this paper, a fuzzy-logic based MPPT strategy is proposed for PMSG variable speed wind turbine generation systems. The proposed MPPT strategy adopts a hill climbing searching (HCS) method, and thus is independent of the turbine and generator characteristics. The MPPT strategy locates the system operation points along the maximum power curves based on the inverter dc-link voltage, thus avoiding the generator speed detection. Two control loops are designed for the MPPT control. Both simulation and field tests have been conducted to validate the performance of the proposed MPPT strategy, and all results have verified the effectiveness of the MPPT strategy.
Keywords :
electric generators; fuzzy logic; fuzzy set theory; invertors; machine control; wind power plants; wind turbines; fuzzy-logic strategy; generator characteristics; hill climbing searching method; inverter dc-link voltage; maximum power point tracking; wind power generation systems; wind turbines; Character generation; Inverters; Power generation; Real time systems; Testing; Voltage; Wind energy generation; Wind power generation; Wind speed; Wind turbines; Wind power generation; fuzzy control; power control; power converters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Computer Engineering, 2008. CCECE 2008. Canadian Conference on
Conference_Location :
Niagara Falls, ON
ISSN :
0840-7789
Print_ISBN :
978-1-4244-1642-4
Electronic_ISBN :
0840-7789
Type :
conf
DOI :
10.1109/CCECE.2008.4564566
Filename :
4564566
Link To Document :
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