Abstract
This chapter presents a method for decentralized dynamic state estimation in power systems which works using analogue measurements from instrument transformers to make the estimation robust to time synchronization errors. The presented method is also robust to a wide range of measurement noises which can be encountered in state-of-the-art instrument transformers and has practical computational requirements for real-time operation. The method employs the concept of the internal angle of a generating unit and consists of two stages. In the first stage signal parameter estimation is performed using interpolated discrete-time Fourier transform. This is followed by the second stage, in which unscented Kalman filtering is applied to the first-stage estimates to obtain the final state estimates. The advantages of the method over PMU-based decentralized dynamic state estimation have been presented using an example test system.
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