基于WAMS的电力系统暂态稳定预测

Power System Transient Stability Prediction Based on WAMS

通过分析速度控制系统的模型得到功角的变化趋势,以广域测量系统实时量测的功角为基础,采用三角函数组合算法,预测电力系统故障后发电机的功角变化,以预测电力系统暂态稳定性。在预测算法中,采用非线性最小二乘法计算三角函数系数,以线性化和线性最小二乘法计算求解包络线方程,提高了计算的精度。本文提出一个快速判断暂态稳定的指标。在EPRI鄄36节点系统上的仿真结果验证了该方法的有效性。

By analyzing the model of the speed control system,the trend of power angle can be obtained.Based on the real-time power angle measured by wide area measurement system,this paper uses the algorithm of combined trigonometric function to predict the trend of faulted power system angle & the transient stability of power system in the end.In the prediction algorithm,the nonlinear least squares method is used to calculate the trigonometric function coefficient and the linear and linear least squares method is adopted to calculate the envelope equations coefficient,which improves the calculation precision.This paper presents a fast index to judging transient stability.Simulation results in the EPRI-36 node system verify the validity of the method.