Robust Dynamic State Estimation of Power Systems

Robust Dynamic State Estimation of Power Systems, 1st Edition, is a reference volume focused on power grid state estimation. The text bridges the distinct literatures of dynamic state estimation and robust estimation theory, explaining how to implement state estimators for modern power systems.

The book presents standard Kalman filter algorithms and demonstrates how to build their robust counterparts. Its technical coverage spans power system dynamic modeling, observability analysis, and concrete dynamic state estimation implementations. Specific operational applications address control failure detection, generator parameter calibration, protection, cyberattack detection, and unknown inputs estimation.

In addition to technical methods, the text identifies open research questions for future study in grid monitoring. This 352-page work functions as an analytical reference for control center engineers, power system researchers, and graduate students working on real-time monitoring.