并联永磁同步风电机组小干扰稳定性分析OACSTPCD
Small Signal Stability Analysis of Parallel Permanent Magnet Synchronous Wind Turbine
采用平均磁链定向控制多台永磁同步风电机组进而构造分频发电系统是未来陆上尤其是海上风电的汇集方案之一,但对该模式下多台风电机组间稳定性的研究鲜有文献涉及.针对此问题,基于特征值分析法,研究了平均磁链定向控制的永磁同步风电机组之间的小干扰稳定性.首先,基于高压大容量直驱式永磁同步风电机组的分频集电系统拓扑结构,建立了适用于小干扰稳定分析的风电系统的数学模型;其次,通过辨识振荡模态并分析模态参与因子确定了影响系统振荡的主控因素,通过绘制根轨迹分析了主控因素参数变化对系统振荡的影响,并发现系统振荡受发电机电感、电阻和直流电容参数的影响最大;最后,通过时域仿真验证了研究结论的正确性.
The use of average flux orientation control of multiple permanent magnet synchronous wind turbines and thus the construction of fractional frequency wind spower systems,is one of the potential future options for onshore and offshore wind power.Nonetheless,the study of the stability among multiple wind turbines in this mode is rarely covered in the literature.To address this problem,the stability of small disturbances among permanent magnet synchronous wind turbines with average flux orientation control is investigated based on the eigenvalue analysis method.Firstly,based on the topology of the crossover collector system of high-voltage and large-capacity direct-drive permanent magnet synchronous wind turbines,a mathematical model of the wind power system applicable to the analysis of small disturbances stability is established.Secondly,the primary factors affecting system oscillations are determined by identifying the oscillatory modes and analyzing the modal participation factors,and the impact of parameter variations on the oscillatory of the system is examined by plotting the trajectories of the roots.It is concluded that the system oscillations are most affected by the generator inductance,resistance,and direct current capacitance parameters.Finally,the correctness of the findings is verified by time domain simulations.
孙士奇;单俊豪;仉志华;时振堂
中国石油大学新能源学院,山东青岛 266580中国石化(大连)石油化工研究院有限公司,辽宁大连 116045
动力与电气工程
海上风电永磁同步风电机组平均磁链定向控制小干扰稳定特征值分析
offshore wind powerpermanent magnet synchronous wind turbineaverage flux orientation controlsmall signal stabilityeigenvalue analysis
《电机与控制应用》 2024 (003)
38-48 / 11
国家自然科学基金面上项目(51977220)General Program of National Natural Science Foundation of China(51977220)
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