本文介绍了一种电力系统动态状态估计的算法。
This paper presents an algorithm for dynamic state estimation of power systems.
该算法具有常数的雅克比矩阵，大大减少了动态状态估计的计算时间，同时保证了动态状态估计的计算精度。
Since the proposed algorithm has a constant Jacobian matrix, the calculating time can be significantly reduced, while the calculating precision can also be guaranteed.
本文研究动态系统过程噪声对航迹统计距离和状态融合估计性能的影响。
This paper presents the effect of the common process noise on track statistical distance and performance of state estimation fusion.
采用动态神经元网络状态观测器的故障检测和诊断方法对非线性时变热力系统状态进行估计。
A nonlinear time dependent thermodynamic system status is analyzed with a fault detection and diagnostic method being carried out by a dynamic neuron network status observer.
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.
无疑传感器动态测量偏差的存在都将或多或少直接影响其测量结果及相应状态估计的准确度。
It is obvious that the measurement output of sensor and the state estimated from the measurement will be affected by the time-varying measurement more or less.
仿真结果表明，这种方法具有很好的抗发散性，而且状态及参数估计精度也很高，是一种行之有效的异步电动机参数的动态辨识方法。
The results of simulation is shown that this method has high accuracy and good convergence, and it is an effective parameter identification method of induction motors.
对于具有参数摄动但其摄动范围未知的动态系统的状态估计问题 ，通过把参数摄动归并到扰动中去 ，则可作为确定性系统对待 。
The problem of state estimation for systems with uncertainties of unknown bound can be treated as determinant systems via ascribing uncertainty to disturbance.
对于具有参数摄动但其摄动范围未知的动态系统的状态估计问题 ，通过把参数摄动归并到扰动中去 ，则可作为确定性系统对待 。
The problem of state estimation for systems with uncertainties of unknown bound can be treated as determinant systems via ascribing uncertainty to disturbance.
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