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作 者:胡庆林[1] 付盼[1] HU Qinglin;FU Pan(School of Information Engineering,Inner Mongolia University of Science and Technology, Inner Mongolia Baotou,014010,China)
机构地区:[1]内蒙古科技大学信息工程学院,内蒙古包头014010
出 处:《高压电器》2018年第6期216-222,共7页High Voltage Apparatus
基 金:内蒙古自治区高等学校科学研究项目(NJZY14165)~~
摘 要:风力发电装机容量逐年上升,对大型风电场并网发电过程中的动态特性研究十分必要,为了对风电场进行快速、精确建模,提出1种将被并入电网发生故障后,风力发电机转子转速作为风电机组分群聚类的依据,应用SPSS软件,快速聚类方法——K-均值聚类算法进行聚类。通过MATLAB/Simulink软件对DFIG型风电场进行多机等值建模,考虑电网发生故障时对系统暂态特性的影响。在保证仿真精度的前提下大幅度缩小了仿真时间,且更加接近风电场实际运行工况。经过对仿真结果的对比分析验证了该方法的优越性。To study the dynamic characteristics of large wind power plants and to model the wind farm rapidly and accurately,it is suggested that the rotor speed of wind power generator be taken as the parameter for clustering the wind turbine unit when it is incorporated into the power grid. A fast clustering algorithm,named K-means clustering algorithm,is employed for clustering via the software SPSS. An equivalent model of multiple generators in DFIG-type wind farm is established by the software MATLAB/Simulink considering the impact of grid failure on transient characteristics of system. The simulation time is reduced greatly on the premise of ensuring the accuracy of the simulation,and the simulation result is more close to the actual operating condition of wind farm. The superiority of the proposed method is verified by comparative analysis of simulation results.
分 类 号:TM614[电气工程—电力系统及自动化]
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