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A General Decentralized Dynamic State Estimation With Synchronous Generator Magnetic Saturation
IEEE Transactions on Power Systems ( IF 6.6 ) Pub Date : 2022-10-21 , DOI: 10.1109/tpwrs.2022.3216503
Bendong Tan 1 , Junbo Zhao 1 , Marcos Netto 2
Affiliation  

The saturation of the nonlinear magnetic circuit of synchronous generators is often neglected when performing Kalman filter-based dynamic state estimation (DSE), yielding significant estimation bias. This letter addresses this problem and proposes a generalized DSE framework to handle magnetic saturation. Moreover, this letter derives a state initialization procedure that improves the Kalman filter tracking speed. The framework is flexible in dealing with different saturation functions and generator models. Numerical results on the Texas 2000-bus system verify the effectiveness of the proposed method.

中文翻译:

同步发电机磁饱和的一般分散动态状态估计

在执行基于卡尔曼滤波器的动态状态估计 (DSE) 时,同步发电机非线性磁路的饱和往往被忽略,从而产生显着的估计偏差。这封信解决了这个问题,并提出了一个通用的 DSE 框架来处理磁饱和。此外,这封信推导了一个状态初始化程序,提高了卡尔曼滤波器的跟踪速度。该框架可以灵活地处理不同的饱和函数和生成器模型。在德州2000总线系统上的数值结果验证了所提方法的有效性。
更新日期:2022-10-21
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