风电机组无传感器功率追踪控制策略
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摘要
针对传统最佳叶尖速比风能追踪方法需要准确测量风速的问题,从风电机组输出电功率的角度出发,提出了一种基于风速预估的改进叶尖速比风能追踪控制策略.根据风电机组的转速和输出电功率求解验证预估风速,进而实现无传感器叶尖速比风能追踪.仿真结果表明,所提出的改进叶尖速比控制策略在无风速传感器的情况下仍具有良好的追踪精度,同时具有较好的实时性和鲁棒性,能降低测量风速对叶尖速比控制性能的影响,证明了所提出控制策略的有效性.
Aiming at the problem that the traditional optimal tip speed ratio wind energy tracking methods need to accurately measure the wind speed,an improved tip speed ratio wind energy tracking control strategy based on the wind speed prediction from the perspective of the output electric power of wind turbine was proposed. The predicted wind speed was solved and verified according to the wind turbine speed and output electric power,and then the sensorless tip speed ratio wind energy tracking was further achieved. The simulation results showthat the proposed improved tip speed ratio control strategy without the wind speed sensor has good tracking accuracy,real time performance and robustness,and can reduce the effect of measured wind speed on the control performance of tip speed ratio,which proves the effectiveness of proposed control strategy.
Aiming at the problem that the traditional optimal tip speed ratio wind energy tracking methods need to accurately measure the wind speed,an improved tip speed ratio wind energy tracking control strategy based on the wind speed prediction from the perspective of the output electric power of wind turbine was proposed. The predicted wind speed was solved and verified according to the wind turbine speed and output electric power,and then the sensorless tip speed ratio wind energy tracking was further achieved. The simulation results showthat the proposed improved tip speed ratio control strategy without the wind speed sensor has good tracking accuracy,real time performance and robustness,and can reduce the effect of measured wind speed on the control performance of tip speed ratio,which proves the effectiveness of proposed control strategy.
引文
[1]王湘明,任树平.风电机组Ⅱ区功率与叶片气动载荷协同控制[J].沈阳工业大学学报,2017,39(1):6-11.(WANG Xiang-ming,REN Shu-ping. Cooperativecontrol for II district pow er of w ind turbine and aero-dynamic load of blades[J]. Journal of Shenyang Uni-versity of Technology,2017,39(1):6-11.)
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[3]刘丹,李强,冯承超.小型直驱式永磁同步风力发电机快速最大功率追踪仿真研究[J].电力系统保护与控制,2016,44(5):141-145.(LIU Dan,LI Qiang,FENG Cheng-chao. A simula-tion study of small direct drive type permanent magnetsynchronous generator fast maximum pow er tracking[J]. Power System Protection and Control,2016,44(5):141-145.)
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[7]郭鹏.残差灰色风速预测最大风能追踪策略研究[J].太阳能学报,2011,32(4):548-552.(GUO Peng. A new MPPT strategy based on residualerror gray w ind speed prediction[J]. Acta EnergiaeSolaris Sinica,2011,32(4):548-552.)
[8]姚万业,贾昭鑫,黄璞.基于风速预测的改进爬山法最大功率追踪策略[J].电力科学与工程,2018,34(2):44-49.(YAO Wan-ye,JIA Zhao-xin,HUANG Pu. ImprovedM PPT strategy for climbing method based on w indspeed prediction[J]. Electric Pow er Science and En-gineering,2018,34(2):44-49.)
[9]李亚强.无速度传感器的风电机组最大功率跟踪方法研究[D].重庆:重庆大学,2015:33-48.(LI Ya-qiang. Speed sensorless tracking method ofmaximum pow er point in w ind pow er generation sys-tem[D]. Chongqing:Chongqing University,2015:33-48.)
[10]Sappani R,Durairaj R,Mahalingam S,et al. Optimiza-tion of pow er coefficient of w ind turbine using geneticalgorithm[J]. Journal of the Institution of Engineers(India),2017,98(2):111-118.
[11]刘静.大型风力发电机独立变桨距控制系统研究[D].徐州:中国矿业大学,2014.(LIU Jing. Research on intelligent control technologyof variable speed variable pitch w ind pow er system[D]. Xuzhou:China University of Mining and Tech-nology,2014.)
[2]王湘明,杨景帅,李南.风电机组气动载荷控制策略[J].沈阳工业大学学,2017,39(6):617-621.(WANG Xiang-ming,YANG Jing-shuai,LI Nan.Control strategy of aerodynamic load for w ind turbine[J]. Journal of Shenyang University of Technology,2017,39(6):617-621.)
[3]刘丹,李强,冯承超.小型直驱式永磁同步风力发电机快速最大功率追踪仿真研究[J].电力系统保护与控制,2016,44(5):141-145.(LIU Dan,LI Qiang,FENG Cheng-chao. A simula-tion study of small direct drive type permanent magnetsynchronous generator fast maximum pow er tracking[J]. Power System Protection and Control,2016,44(5):141-145.)
[4]张凤,阎秀恪,兰宏光,等.基于滑膜控制的风机最大风能追踪[J].沈阳工业大学学报,2014,36(6):625-630.(ZHANG Feng,YAN Xiu-ke,LAN Hong-guang,et al. M aximum pow er point tracking of w ind turbinebased on sliding mode control[J]. Journal of Shen-yang University of Technology,2014,36(6):625-630.)
[5]李咸善,徐浩,杜于龙.采用叶尖速比法和爬山搜索法相结合的风力发电系统最大功率点跟踪研究[J].电力系统保护与控制,2015,43(13):66-71.(LI Xian-shan,XU Hao,DU Yu-long. Maximum powertracking of wind power generation system using thecombination of tip speed ratio method and climbingsearch method[J]. Pow er System Protection andControl,2015,43(13):66-71.)
[6] Hussain J,Mishra M K. Adaptive maximum powerpoint tracking control algorithm for w ind energy con-version systems[J]. IEEE Transactions on EnergyConversion,2016,31(2):697-705.
[7]郭鹏.残差灰色风速预测最大风能追踪策略研究[J].太阳能学报,2011,32(4):548-552.(GUO Peng. A new MPPT strategy based on residualerror gray w ind speed prediction[J]. Acta EnergiaeSolaris Sinica,2011,32(4):548-552.)
[8]姚万业,贾昭鑫,黄璞.基于风速预测的改进爬山法最大功率追踪策略[J].电力科学与工程,2018,34(2):44-49.(YAO Wan-ye,JIA Zhao-xin,HUANG Pu. ImprovedM PPT strategy for climbing method based on w indspeed prediction[J]. Electric Pow er Science and En-gineering,2018,34(2):44-49.)
[9]李亚强.无速度传感器的风电机组最大功率跟踪方法研究[D].重庆:重庆大学,2015:33-48.(LI Ya-qiang. Speed sensorless tracking method ofmaximum pow er point in w ind pow er generation sys-tem[D]. Chongqing:Chongqing University,2015:33-48.)
[10]Sappani R,Durairaj R,Mahalingam S,et al. Optimiza-tion of pow er coefficient of w ind turbine using geneticalgorithm[J]. Journal of the Institution of Engineers(India),2017,98(2):111-118.
[11]刘静.大型风力发电机独立变桨距控制系统研究[D].徐州:中国矿业大学,2014.(LIU Jing. Research on intelligent control technologyof variable speed variable pitch w ind pow er system[D]. Xuzhou:China University of Mining and Tech-nology,2014.)