基于PMU实测小扰动数据的负荷参数辨识方法

提出一种新的基于相量测量单元(PMU)实测小扰动数据辨识广义负荷模型动态参数的方法。该方法首先根据实测电压、电流变化曲线的特征来选取适合参数辨识的数据时段;而后依据在已知实测电压下负荷模型计算出的电流值的允许波动范围,确定转子初始滑差和其他需要辨识的几个参数的初始值;最后以实测的有功曲线、无功曲线的中心线与计算出的有功曲线、无功曲线中心线的误差最小为目标函数优化参数。所述方法在很大程度上解决了现有各种算法中小扰动数据无法用来辨识模型动态参数的难题。通过华北电网多个变电站母线节点实测算例表明,该算法在无法获得大扰动数据的情况下,只需系统的随机小扰动数据即可较为精确地辨识出负荷的动态参数。

Parameter Identification of Load Model Based on Small Disturbance Data from PMU

A new method of identifying the load model parameters based on measured data from the phasor measurement unit (PMU) is proposed. The proposed method first selects appropriate data to identify the parameters based on the profile characteristics of voltage and circuit. Then according to the range of circuit magnitude variation obtained from the model, the initial rotor slip and the initial value of other parameters are obtained. To estimate parameter values, the least-squares fitting function of central axis based on active power and reactive power from model and PMU can be formulated. The proposed approach is illustrated with multiple cases in point from the North China Power Grid. The results show that the proposed method can provide acceptable estimates under small disturbance, without increasing computational time. This work is supported by State Grid Corporation of China (No. 52011013508K).