基于参数测量的风力发电场等值建模方法研究

Research on equivalent modeling method of wind power plant based on parameter measurement

风电场的动态等值建模已成为分析大型风电场并网特征的重要研究手段,目前对单个双馈感应发电机(DFIG)的特性研究已经非常广泛,但是对风电场的整体特性还鲜有研究。由于风力发电机之间运行的巨大差异,多机等值模型更能充分反映风电场的动态特性。为确定多机等值模型的发电机参数,文中基于公共耦合点(PCC)测量的数据,详细解释了对数据的处理方式,在充分考虑对外特性的基础上,利用改进粒子群算法(MPSO)对等值风力发电机的参数进行识别。建立了基于DFIG的风力发电场(WPP)的多机等值模型,与风电场精细化模型对比,表明采用文中方法建立的风力发电场等值模型能够比较准确的反映风力发电场的动态特性,验证了该方法的有效性。

Dynamic equivalent modeling of wind power plant has become an important research method for analyzing the grid-connected characteristics of large-scale wind power plants.Currently,the characteristics of a single doubly-fed induction generator(DFIG)have been extensively studied,but there was very little research on the overall characteristics of wind power plant.Due to the huge difference between wind turbines,the multi-machine equivalent model could fully reflect the dynamic characteristics of wind power plant in a better way.In order to determine the generator parameters of the multi-machine equivalent model,the method of data processing was explained in detail in this paper based on the data measured with the point of common coupling(PCC).Moreover,the improved particle swarm optimization(MPSO)was adopted to identify the parameters of the equivalent wind turbine on the basis of fully considering the external characteristics.The multi-machine equivalent model of wind power plant(WPP)based on DFIG was established,and the comparison with the refined model of wind power plant showed that the model constructed with the method mentioned in this paper could reflect the dynamic characteristics of wind power plant more accurately,which exactly verified the effectiveness of the proposed method.