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Energies 2018, 11(6), 1411; https://doi.org/10.3390/en11061411

Time-Domain Voltage Sag State Estimation Based on the Unscented Kalman Filter for Power Systems with Nonlinear Components

1
División de Estudios de Posgrado, Facultad de Ingeniería Eléctrica, Universidad Michoacana de San Nicolás de Hidalgo, Av. Francisco J. Múgica S/N, Morelia, Michoacán 58030, Mexico
2
Institute for Energy and Environment, Department of Electronic and Electrical Engineering, University of Strathclyde, 204 George Street, Glasgow G1 1RX, UK
*
Author to whom correspondence should be addressed.
Received: 1 May 2018 / Revised: 17 May 2018 / Accepted: 23 May 2018 / Published: 1 June 2018
(This article belongs to the Special Issue Power Quality in Microgrids Based on Distributed Generators)
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Abstract

This paper proposes a time-domain methodology based on the unscented Kalman filter to estimate voltage sags and their characteristics, such as magnitude and duration in power systems represented by nonlinear models. Partial and noisy measurements from the electrical network with nonlinear loads, used as data, are assumed. The characteristics of voltage sags can be calculated in a discrete form with the unscented Kalman filter to estimate all the busbar voltages; being possible to determine the rms voltage magnitude and the voltage sag starting and ending time, respectively. Voltage sag state estimation results can be used to obtain the power quality indices for monitored and unmonitored busbars in the power grid and to design adequate mitigating techniques. The proposed methodology is successfully validated against the results obtained with the time-domain system simulation for the power system with nonlinear components, being the normalized root mean square error less than 3%. View Full-Text
Keywords: nonlinear dynamic system; power quality; power system simulation; state estimation; unscented Kalman filter; voltage fluctuation nonlinear dynamic system; power quality; power system simulation; state estimation; unscented Kalman filter; voltage fluctuation
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Cisneros-Magaña, R.; Medina, A.; Anaya-Lara, O. Time-Domain Voltage Sag State Estimation Based on the Unscented Kalman Filter for Power Systems with Nonlinear Components. Energies 2018, 11, 1411.

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