一种基于广域测量系统过程量测数据的快速暂态稳定预估方法

在高阶Taylor级数法暂态稳定计算方法的启发下,提出了一种以广域测量系统(WAMS)过程测量数据为基础的电力系统暂态稳定快速预估方法。该方法通过对高精度、高密度的WAMS过程测量数据进行插值或曲线拟合等数值运算,得到发电机转子角及角速度的高阶导数,从而利用Taylor级数展开式获得未来时刻的发电机转子角和角速度。理论分析和算例测试表明,该方法能够在数10ms内完成系统未来运行轨迹的预测,为电力系统暂态稳定在线应用提供了一种可行的实现方法。

A Fast Transient Stability Predicting Method Based on the WAMS Process Measurement Data

Enlighten by the method of fast transient stability simulation through high order Taylor series expansions,this paper proposed a fast transient stability predicting method based on the WAMS process measurement data.By using the accurate and dense WAMS data,This Method obtains the differential coefficient value of the angle and angular frequency of the generators through the numeric operation of interpolation or curve fitting.And then the future angle and angular frequency of the generators can be predicted by Taylor series expansions.The theoretical analysis and testing scenario indicate that the future operating tracks of the generators can be predicted in the time scale of tens of milliseconds.So the method proposed in this paper provides a feasible solution for the applications of on-line transient stability analysis.