Title :
An Analytical Approach to Maximum Power Tracking and Loss Minimization of a Doubly Fed Induction Generator Considering Core Loss
Author :
Chen, Bo-An ; Lu, Tien-Kei ; Hsu, Yuan-Yih ; Chen, Woei-Luen ; Lee, Zheng-Cong
Author_Institution :
Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan
fDate :
6/1/2012 12:00:00 AM
Abstract :
To get maximum output power from a doubly fed induction generator (DFIG), it is essential to extract maximum mechanical power from the wind turbine and to minimize generator losses. The goal of maximum power tracking and minimum loss is usually achieved through vector control of rotor current. In other words, the d-axis and q-axis rotor currents Idr and Iqr must be properly controlled as wind speed changes with time. In this paper, an analytical approach is developed to determine proper rotor current commands Idr* and Iqr* which give maximum mechanical power and minimum loss based on the measured generator speed. The proposed analytical approach is more efficient than the exhaustive search approach proposed in a previous study and is, therefore, more suitable for real-time performance improvements. In addition, core loss component, which was usually neglected in previous studies, is included in the DFIG model in order to have more accurate results. The effectiveness of the derived analytical formulas is demonstrated by an example.
Keywords :
asynchronous generators; electric current control; losses; machine vector control; maximum power point trackers; search problems; wind turbines; DFIG model; core loss component; d-axis rotor currents; doubly fed induction generator; exhaustive search approach; generator losses minimization; maximum mechanical power extraction; maximum power tracking analytical approach; q-axis rotor currents; rotor current; rotor current commands; vector control; wind speed; wind turbine; Copper; Core loss; Generators; Rotors; Stator cores; Wind turbines; Core loss; doubly fed induction generator (DFIG); loss minimization; maximum output power; maximum power tracking; wind energy conversion; wind turbine generator;
Journal_Title :
Energy Conversion, IEEE Transactions on
DOI :
10.1109/TEC.2012.2190513