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Robust Dynamic State Estimation of Synchronous Machines with Asymptotic State Estimation Error Performance Guarantees
IEEE Transactions on Power Systems ( IF 6.6 ) Pub Date : 2020-05-01 , DOI: 10.1109/tpwrs.2019.2949977
Sebastian A. Nugroho , Ahmad F. Taha , Junjian Qi

A robust observer for performing power system dynamic state estimation (DSE) of a synchronous generator is proposed. The observer is developed using the concept of $\mathcal {L}_{\infty }$ stability for uncertain, nonlinear dynamic generator models. We use this concept to (i) design a simple, scalable, and robust dynamic state estimator and (ii) obtain a performance guarantee on the state estimation error norm relative to the magnitude of uncertainty from unknown generator inputs, and process and measurement noises. Theoretical methods to obtain upper and lower bounds on the estimation error are also provided. Numerical tests validate the performance of the $\mathcal {L}_{\infty }$-based estimator in performing DSE under various scenarios. The case studies reveal that the derived theoretical bounds are valid for a variety of case studies and operating conditions, while yielding better performance than existing power system DSE methods.

中文翻译:

具有渐近状态估计误差性能保证的同步机器的鲁棒动态状态估计

提出了一种用于执行同步发电机电力系统动态状态估计 (DSE) 的鲁棒观测器。观察者是使用以下概念开发的$\mathcal {L}_{\infty }$不确定的非线性动态发电机模型的稳定性。我们用这个概念来(一世) 设计一个简单、可扩展和健壮的动态状态估计器和 (二)获得状态估计误差范数的性能保证,相对于未知发电机输入的不确定性大小,以及过程和测量噪声。还提供了获得估计误差的上限和下限的理论方法。数值测试验证了性能$\mathcal {L}_{\infty }$在各种场景下执行 DSE 的基于估计器。案例研究表明,导出的理论界限适用于各种案例研究和运行条件,同时比现有电力系统 DSE 方法产生更好的性能。
更新日期:2020-05-01
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