基于改进型K-means算法的笼式异步风电场等值研究

Study on Equivalence of FSIG Wind Farm Based on Improved K-means Algorithm

国外风电场采用分布式,我国大多是大规模集群风电接入电网。由于风的随机性、波动性等特点,在研究风电场并网对电网的影响时,提高风电场模型运行状态的精度就显得尤为重要了。文中对于笼式异步风电场提出一种以故障发生前的输出功率为分群指标,采用改进型K-means算法实现风电场多机等值建模的方法。针对同一机群风电机组,运用基于容量加权的等值方法计算相关等值参数。最后,以软件PSCAD/EMTDC为仿真平台,搭建了笼式异步风电场详细模型及其等值模型。仿真研究了在稳定运行及故障条件下风电场出口有功、无功动态变化轨线,验证了所提出的等值方法的快速性及有效性。

Unlike the distribution mode adopted in the foreign countries,most of the large-scale wind farms are connected to the grid in China. Due to the randomness and fluctuation of wind,the improvement of accuracy of operation status of wind farm model is of great importance in the study of influence of grid connected wind farm to the grid. In this paper,an improved K-means algorithm is proposed to achieve the equivalent model of the wind farm with the output power before the initial fault as the cluster index for the FSIG wind farm. For the FSIG turbine in a wind farm cluster,the related equivalent parameter is calculated by the equivalent method which is based on capacity weighted. Finally,the detailed model of FSIG wind farm and its equivalent model are setup with PSCAD/EMTDC as simulation platform. The output active power of wind farm and reactive power dynamic variation curve trajectory at stable operation and fault condition is studied by the simulation;The celerity and accuracy of the equivalent method proposed is verified.