A new observability analysis algorithm for power system state estimation based on reduced network Jacobian matrix is proposed.
提出了一种新的基于降阶网络雅可比矩阵的电力系统状态估计可观测性分析方法。
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Sag state estimation observability analysis is modeled and correlative modification method is proposed from the point of fault current superimposing firstly.
By selecting an odometer as the system's external sensor, the mathematical model for the alignment in the moving state is established and the observability of the system is analyzed.