Decentralized dynamic state estimation in power systems using unscented transformation

Singh, Abhinav Kumar and Pal, Bikash C. (2014) Decentralized dynamic state estimation in power systems using unscented transformation. In: PES General Meeting | Conference & Exposition, 2014 IEEE, 27 - 31 July 2014, National Harbor, MD, USA.


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Summary form only given. 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, Heuristic algorithms, State estimation, Phasor measurement units, Educational institutions, Real-time systems
Subjects:H Engineering > H631 Electrical Power Generation
H Engineering > H630 Electrical Power
H Engineering > H310 Dynamics
Divisions:College of Science > School of Engineering
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ID Code:28772
Deposited On:03 Oct 2017 12:31

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