基于双馈感应电机(doubly-fed induction generator,DFIG)的风电机组在加入附加桨距角控制环节后,能够对系统频率变化具有响应能力。获得DFIG风电场电压和频率静态特征系数以确定其静态模型,对于电力系统分析是必要的。若采用稳态试验法逐次改变风电场接入点的电压和频率,根据多次试验获得的若干组稳态数据可确定风电场静态特征系数,但稳态试验法花费大量人力物力且难以解决时变性问题。提出了一种在线测辨风电场静态特征系数的新方法,该方法首先采集电网小扰动下风电场的动态数据,然后以离散差分方程表示的PQ耦合线性动态模型进行拟合辨识,再基于动态特性方程在稳态条件下化为静态特性方程的思路,获得风电场静态特征系数。仿真结果表明:在目前普遍采用的恒功率因数控制模式下,辨识得到的参数与通过稳态试验法获得的参数相近,从而证明了方法的有效性。
DFIG (doubly-fed induction generator) based wind turbine generator responses to frequency changes when additional pitch angle control is introduced. Deriving voltage and frequency static characteristic coefficients of DFIG based wind farm to obtain its static model is essential to power system analysis. Voltage and frequency of wind farm access point were gradually changed in steady-state test method, thus the static characteristic coefficients of wind farm could be derived through sets of steady-state data obtained with various tests. Steady-state method costs much effort and can hardly solve time-variation problem. This paper proposes a method acquiring dynamic response data of wind farm under small grid disturbance and using PQ coupling linear dynamic model presented with discrete differential equations to realize model fitting and parameter identification. Based on the idea that dynamic characteristic equations will convert to static characteristic equations under steady state, static characteristic coefficients of DFIG based wind farm were derived. Under commonly adopted constant power factor control mode, the static coefficients derived are close to those derived with steady-state test method, proving validity of the proposed method.