DocumentCode :
653626
Title :
Maximum power point tracking control of IPMSG with loss minimization algorithm for wind energy conversion system
Author :
Uddin, M. Nasir ; Patel, Naresh
Author_Institution :
Dept. of Electr. Eng., Lakehead Univ., Thunder Bay, ON, Canada
fYear :
2013
fDate :
6-11 Oct. 2013
Firstpage :
1
Lastpage :
7
Abstract :
In the variable-speed generation system, the wind turbine can be operated at maximum power operating points by adjusting the shaft speed optimally. This paper presents a novel maximum power point tracking (MPPT) based control of interior permanent magnet synchronous generator (IPMSG) incorporating loss minimization algorithm. In the proposed method, without requiring the knowledge of wind speed, air density or turbine parameters, MPPT algorithm generates optimum speed command for speed control loop of vector controlled machine side converter. The MPPT algorithm uses the estimated active power output of the generator as its input and generates command speed so that maximum power is transferred to the dc-link. Additionally proposed control system incorporates loss minimization algorithm (LMA) to improve the efficiency. The performance of the proposed adaptive MPPT and LMA based control of IPMSG for WECS is tested in simulation at different wind speed conditions.
Keywords :
adaptive control; angular velocity control; direct energy conversion; machine vector control; maximum power point trackers; permanent magnet generators; synchronous generators; wind turbines; IPMSG; LMA based control; WECS; active power output; adaptive MPPT based control; air density; dc-link; interior permanent magnet synchronous generator; loss minimization algorithm; maximum power operating points; maximum power point tracking control; optimum speed command; speed control loop; variable-speed generation system; vector controlled machine side converter; wind energy conversion system; wind speed conditions; wind turbine; Convergence; Filtering algorithms; Generators; Rectifiers; Rotors; Wind speed; IPM synchronous generator; Loss minimization algorithm; Maximum power point tracking; Wind power;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industry Applications Society Annual Meeting, 2013 IEEE
Conference_Location :
Lake Buena Vista, FL
ISSN :
0197-2618
Type :
conf
DOI :
10.1109/IAS.2013.6682535
Filename :
6682535
Link To Document :
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