The model of the power system state estimation is generalized.

对电力系统状态估计的模型进行了归纳.

Effect of random sampling number on state estimation is discussed.

本文对随机抽样数目对状态估计结果的影响进行了讨论。

Some conventional power system state estimation are introduced and compared.

分析了几种经典的电力系统状态估计的特点,并进行了比较.

On the basis of state estimation based on PMU in possession, a new model of state estimation is presented in this paper.

在现有基于PMU的状态估计模型的基础上，提出了新的基于PMU的状态估计模型。

By introducing state transformation, a reduced-order state estimation form is achieved.

通过引入状态变换，得到了一类降阶形式的状态估计问题。

By introducing state transformation, a reduced - order state estimation form is achieved.

通过引入状态变换, 得到了一类降阶形式的状态估计问题.

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.

In order to solve the divergence phenomenon which produced by the common state estimation methods, a state estimation method based on improved particle swarm algorithm was proposed.

为了解决常用的状态估计方法常易出现的发散现象，提出了基于改进粒子群算法的状态估计。

The motivation for this study is that in the area of state estimation, the Performance requirements are usually described in terms of the upper bounds on the error variance of state estimation.

在状态估计领域中，指标要求常直接以状态分量的估计误差方差上限的形式给出。

The optimality of two-stage state estimation in the presence of ARMA model random bias is studied.

考虑了具有ARMA模型随机偏差的两段卡尔曼估值器的最优条件问题。