This paper presents an algorithm for dynamic state estimation of power systems.
本文介绍了一种电力系统动态状态估计的算法。
The research results of dynamic state estimation algorithm were introduced, which were EKF method, UKF method, predictive Kalman filtering and nonlinear predictive Kalman filtering.
简要分析了几种常见的动态估计方法，它们是EKF方法、UKF方法、预测卡尔曼滤波；
The accuracy of vehicle reference speed estimation is crucial to the estimation of nominal yaw rate and thus to the judgment of the vehicles dynamic state.
参考车速的计算准确与否直接影响名义横摆角速度的估算是否准确，从而影响对车辆运动状态的判断。
Based on the estimation of the unit solution matrixes of differential equations, the unique steady state of the dynamic circuits with nonlinear resistors is studied by matrix measure.
本文利用微分方程单位解矩阵估计的相关方法，得到了确定含有非线性电阻的动态电路唯一稳态的条件。
This dissertation analyses the estimation of steady state frequency method based on the calculating of real-time dynamic power flow.
本文分析了基于实时动态潮流计算的预测电力系统的稳态频率的方法。
This proposed modeling idea can also be applied to dynamic reactive optimization, optimal power flow and state estimation for a faster calculation.
这种建立模型的思想还可以应用到需要计算海森矩阵的动态无功优化、最优潮流以及状态估计等问题的算法中，以提高其计算速度。
This proposed modeling idea can also be applied to dynamic reactive optimization, optimal power flow and state estimation for a faster calculation.
这种建立模型的思想还可以应用到需要计算海森矩阵的动态无功优化、最优潮流以及状态估计等问题的算法中，以提高其计算速度。
应用推荐