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Improved multi-objective model predictive control of permanent magnetic synchronous generator wind power system
A novel sorting-based multi-objective model predictive control strategy for controlling converters of permanent magnetic synchronous generator wind turbines is proposed in this paper. To avoid the nontrivial process of scale factors tuning which is typical in traditional multi-objective model predictive control, sorting and ranking is incorporated in this method where quicksort is utilized to sort the multiple control variables with the principle of variable that has smaller objective function value ranking higher. In addition, predictive direct torque control and direct power control are adopted separately for the generator-side and the grid-side converters in which one-step delay in digital implementation and switching losses are compensated without deterioration of system stability. In order to verify the effectiveness of the proposed method, simulations and experimental tests are conducted separately with results showing that the proposed method can get excellent steady and dynamic performance with lowered fluctuations and switching frequencies while avoiding the tedious scale factors tuning process.
Improved multi-objective model predictive control of permanent magnetic synchronous generator wind power system
A novel sorting-based multi-objective model predictive control strategy for controlling converters of permanent magnetic synchronous generator wind turbines is proposed in this paper. To avoid the nontrivial process of scale factors tuning which is typical in traditional multi-objective model predictive control, sorting and ranking is incorporated in this method where quicksort is utilized to sort the multiple control variables with the principle of variable that has smaller objective function value ranking higher. In addition, predictive direct torque control and direct power control are adopted separately for the generator-side and the grid-side converters in which one-step delay in digital implementation and switching losses are compensated without deterioration of system stability. In order to verify the effectiveness of the proposed method, simulations and experimental tests are conducted separately with results showing that the proposed method can get excellent steady and dynamic performance with lowered fluctuations and switching frequencies while avoiding the tedious scale factors tuning process.
Improved multi-objective model predictive control of permanent magnetic synchronous generator wind power system
Wang, Yi (author) / Yu, Ming (author) / Li, Yonggang (author)
2015-09-01
15 pages
Article (Journal)
Electronic Resource
English
| American Institute of Physics | 2015
| American Institute of Physics | 2013