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A method for estimating the dynamics of a low observability measurement point without PMU in real time without depending on the state matrix

机译:一种无需依赖状态矩阵即可实时估算低可观测性测量点动态的方法,无需PMU

摘要

A state-matrix-independent dynamic process estimation method in real-time for weakly observable measurement nodes without Phasor Measurement Unit(PMU) is only dependent on real-time measurement dynamic data of measurement nodes with PMU and measurement data of Supervisory Control And Data Acquisition (SCADA) system in electric power system or state estimation data. According to the SCADA measurement data or state estimation data at some continuous moments, the method utilizes recursive least squares solution to find a linear combination relationship between variation of measurement parameter to be estimated of nodes without PMU and variation of corresponding measurement parameter of nodes with PMU. Using the linear combination of relationship, the dynamic process of measurement nodes without PMU is estimated in real-time. The method provides high estimation precision and meets error requirements of engineering application.
机译:没有相量测量单元(PMU)的弱可观察测量节点的状态矩阵实时动态过程估计方法,仅取决于具有PMU的测量节点的实时测量动态数据以及监督和数据采集的测量数据(SCADA)系统中的电力系统或状态估计数据。根据一些连续时刻的SCADA测量数据或状态估计数据,该方法利用递归最小二乘解找到没有PMU的节点的待估计测量参数的变化与具有PMU的节点的对应测量参数的变化之间的线性组合关系。 。使用关系的线性组合,可以实时估算没有PMU的测量节点的动态过程。该方法估计精度高,满足工程应用的误差要求。

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