论文标题
功率网络非线性差分代数方程模型的动态状态估计
Dynamic State Estimation of Nonlinear Differential Algebraic Equation Models of Power Networks
论文作者
论文摘要
本文研究了在不确定性下，研究了代数变量（电压和相位角）和发电机状态（转子角度和频率）的动态状态估计的关节问题。传统上，由于处理NDAE模型的复杂性，这两个问题已被脱钩。特别是，本文提供了第一次尝试解决上述问题的尝试，以同时计算代数和发电机状态估计值的耦合方法。本文提出的估计算法具有以下属性：（i）实施和基于众所周知的Lyapunov理论相当简单； （ii）考虑了发电机控制输入，负载，可再生能源，过程和测量噪声的各种不确定性来源； （iii）模型在任意总线上的相量测量单元安装； （iv）在计算上比文献中的脱钩方法少。
This paper investigates the joint problems of dynamic state estimation of algebraic variables (voltage and phase angle) and generator states (rotor angle and frequency) of nonlinear differential algebraic equation (NDAE) power network models, under uncertainty. Traditionally, these two problems have been decoupled due to complexity of handling NDAE models. In particular, this paper offers the first attempt to solve the aforementioned problem in a coupled approach where the algebraic and generator states estimates are simultaneously computed. The proposed estimation algorithm herein is endowed with the following properties: (i) it is fairly simple to implement and based on well-understood Lyapunov theory; (ii) considers various sources of uncertainty from generator control inputs, loads, renewables, process and measurement noise; (iii) models phasor measurement unit installations at arbitrary buses; and (iv) is computationally less intensive than the decoupled approach in the literature.
