针对基于传统量测的负荷建模方法存在的问题,提出了一种基于广域测量系统(WAMS)的负荷建模方法.该方法以WAMS记录的相量测量单元(PMU)安装节点处的电压相量为现场实测数据,可在电网中PMU布点情况不满足系统可观的条件下对电网中的任意负荷节点建立模型,并采用克隆选择算法(CSA)辨识出节点负荷模型的参数.将该方法应用于IEEE 39节点系统中,辨识结果显示,提出的基于WAMS的负荷建模和参数辨识方法具有较快的收敛速度,所建立的负荷模型能够很好地拟合负荷实测信号.该方法能够为电力系统仿真计算提供高精度的负荷模型.
A wide-area measurement system (WAMS) based load modeling approach was presented aiming at the disadvantages of existing load modeling methods based on traditional measurements. The approach uses the practical voltage phasors measured by phasor measurement units (PMU) of WAMS as raw data, thus can build the load model of any load node even if the placement of PMU doesn't satisfy the observability conditions of power systems. The clonal selection algorithm (CSA) was applied to identify the parameters of load model. The approach was tested on IEEE 39-bus system. The identification results show that the approach has a fast convergence speed and the obtained load model can commendably match the practical measured signals. The approach can provide high-precision load models for power system simulation.