基于PMU实测小扰动数据的负荷参数辨识方法

发布时间：2018-03-09 04:07

本文选题：负荷模型　切入点：参数辨识　出处：《电力系统自动化》2016年02期 　论文类型：期刊论文

【摘要】：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。
[Abstract]:A new method for identifying dynamic parameters of generalized load model based on small disturbance data measured by phasor measurement unit (PMU) is proposed. Firstly, according to the characteristics of measured voltage and current curves, the suitable time period for parameter identification is selected. Then the initial values of rotor initial slip and other parameters needed to be identified are determined according to the allowable fluctuation range of the current value calculated by the load model under the known measured voltage. Finally, the measured active power curve is used to determine the initial value of the rotor's initial slip and other parameters that need to be identified. The centerline of the reactive power curve and the calculated active power curve, The minimum error of the centerline of reactive power curve is the objective function optimization parameter. To a great extent, this method solves the problem that the existing small and medium disturbance data can not be used to identify the dynamic parameters of the model. The actual calculation examples of bus nodes in each substation show that, When the large disturbance data can not be obtained, the dynamic parameters of the load can be accurately identified by the random small disturbance data of the system.
【作者单位】：青岛大学自动化工程学院;国家电网华北电力调控分中心;
【基金】：国家电网公司科技项目(52011013508K)~~
【分类号】：TM933.313

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