Decentralized robust dynamic state estimation in power systems using instrument transformers

Singh, Abhinav Kumar and Pal, Bikash C. (2018) Decentralized robust dynamic state estimation in power systems using instrument transformers. IEEE Transactions on Signal Processing . p. 1. ISSN 1053-587X

Full content URL: http://doi.org/10.1109/TSP.2017.2788424

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Abstract

This paper proposes a decentralized method for estimation of dynamic states of a power system. The method remains robust to time-synchronization errors and high noise-levels in measurements. Robustness of the method has been achieved by incorporating internal angle in the dynamic model used for estimation and by decoupling the estimation process into two stages with continuous updation of measurement-noise variances. Additionally, the proposed estimation method does not need measurements obtained from phasor measurement units (PMUs); instead, it just requires analogue measurements of voltages and currents directly acquired from instrument transformers. This is achieved through statistical signal processing of analogue voltages and currents to obtain their magnitudes and frequencies, followed by application of unscented Kalman filtering for nonlinear estimation. The robustness and feasibility of the method have been demonstrated on a benchmark power system model.

Keywords:Decentralized, synchronization error, internal angle, statistical signal processing, dynamic state estimation (DSE), pseudo-input, unscented Kalman filtering (UKF), discrete-time Fourier transform (DFT), Hanning-window, instrument transformers, phasor measurement unit (PMU)
Subjects:H Engineering > H660 Control Systems
H Engineering > H630 Electrical Power
H Engineering > H631 Electrical Power Generation
Divisions:College of Science > School of Engineering
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ID Code:30545
Deposited On:07 Mar 2018 16:48

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