Optimization Control of Front-End Speed Regulation (FESR) Wind Turbine Based on Improved NSGA-II

IEEE Access

卷:7

Sun Zhiqiang¹  Dong Haiying²  Li Hongwei²  Li Xiaoqing²  Li Mingxue³ 

[1] Institute of Railway Technology, Lanzhou Jiaotong University, Lanzhou, China;

[2] School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou, China;

[3] School of Energy and Power Engineering, Lanzhou University of Technology, Lanzhou, China;

关键词: Front-end speed regulation (FESR) wind turbine;    hybrid automata;    power control;    optimization control;    improved NSGA-II algorithm;   

DOI  :  10.1109/ACCESS.2019.2908995

来源: DOAJ

【 摘 要 】

Aiming at the power optimization control problem of front-end speed regulation (FESR) wind turbine, when the wind speed above rated wind speed, an optimal control strategy of variable pitch and variable torque based on improved NSGA-II algorithm is proposed. For this strategy, the reverse learning mechanism was used to initialize and evolve, and the crossover probability and mutation probability were adjusted dynamically based on the exponential distribution. A fuzzy comprehensive evaluation was used to get the best solution from the non-inferior solutions. The objective function was established upon the goals of the constant output speed for hydraulic speed converter and the smoothness of FESR's output power. And pitch angle and vane opening angle were optimized by the improved NSGA-II algorithm. Afterward, the optimization control algorithm has been validated through simulation experiment to a 2 MW FESR. The simulation results show that the output power of FESR was smoothed, and the speed fluctuation and power fluctuation of FESR were also reduced, better control performance is thus achieved. Therefore, it is feasible and effective to optimize the control of FESR by the improved NSGA-II algorithm proposed in this paper.

【 授权许可】

Unknown