Observability and detectability analyses for dynamic state estimation of the marginally observable model of a synchronous machine

Observability and detectability analyses for dynamic state estimation of the marginally observable model of a synchronous machine
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同步电机边际可观测模型动态状态估计的可观测性和可检测性分析

DOI:
10.1049/gtd2.12373
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发表时间:
2021
期刊:
Transmission & Distribution
影响因子:
--
通讯作者:
Huang, Renke
Huang, Renke
中科院分区:
--
文献类型:
--
作者:
Zhou, Ning;Wang, Shaobu;Zhao, Junbo;Huang, Zhenyu;Huang, Renke

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可观测性和可检测性分析通常用于指导测量设置和选择用于动态状态估计(DSE)的估计模型。然而,边际可观察的同步机的状态,防止直接应用传统的可观察性和可检测性分析,在确定存在的DSE观察员。为了解决这个问题,作者建议通过找到使系统不可观测的最小扰动矩阵来识别边缘可观测状态及其相关特征值。所提出的方法扩展了可观性和可检测性分析,边缘可观察的估计模型,经常遇到的同步机的DSE。以IEEE 10机39节点系统为例,验证了该方法的有效性和应用性,并与传统方法进行了比较。所提出的分析方法可以应用于指导估计模型和测量的选择,以确定DSE观测器在电力系统规划中的存在。
Observability and detectability analyses are often used to guide the measurement setup and select the estimation models used in dynamic state estimation (DSE). Yet, marginally observable states of a synchronous machine prevent the direct application of conventional observability and detectability analyses in determining the existence of a DSE observer. To address this issue, the authors propose to identify the marginally observable states and their associate eigenvalues by finding the smallest perturbation matrices that make the system unobservable. The proposed method extends the observability and detectability analyses to marginally observable estimation models, often encountered in the DSE of a synchronous machine. The effectiveness and application of the proposed method are illustrated on the IEEE 10‐machine 39‐bus system, verified using the unscented Kalman filter and the extended Kalman filter, and compared with conventional methods. The proposed analysis method can be applied to guide the selection of estimation models and measurements to determine the existence of a DSE observer in power‐system planning.
使用同步相量测量进行稳定性监测的电力系统可观测性和动态状态估计
DOI: 10.1016/j.conengprac.2016.01.013
发表时间: 2016
影响因子: 4.9
作者:
K. Sun;Junjian Qi;W. Kang
通讯作者: W. Kang