Decentralized dynamic state estimation in power systems using unscented transformation

Singh, Abhinav Kumar and Pal, Bikash C. (2013) Decentralized dynamic state estimation in power systems using unscented transformation. IEEE Transactions on Power Systems, 29 (2). pp. 794-804. ISSN 0885-8950

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This paper proposes a decentralized algorithm for real-time estimation of the dynamic states of a power system. The scheme employs phasor measurement units (PMUs) for the measurement of local signals at each generation unit, and subsequent state estimation using unscented Kalman filtering (UKF). The novelty of the scheme is that the state estimation at one generation unit is independent from the estimation at other units, and therefore the transmission of remote signals to a central estimator is not required. This in turn reduces the complexity of each distributed estimator, and makes the estimation process highly efficient, accurate and easily implementable. The applicability of the proposed algorithm has been thoroughly demonstrated on a representative model.

Keywords:Power system dynamics, Noise, Phasor measurement units, Noise measurement, Current measurement, State estimation, power system state estimation, Kalman filters, phasor measurement, distributed estimator, decentralized dynamic state estimation, unscented transformation, power system dynamic states, unscented Kalman filtering, UKF
Subjects:H Engineering > H660 Control Systems
H Engineering > H310 Dynamics
H Engineering > H630 Electrical Power
Divisions:College of Science > School of Engineering
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ID Code:28759
Deposited On:27 Sep 2017 13:35

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