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Energies 2017, 10(4), 484; doi:10.3390/en10040484

Analysis of Low Frequency Oscillation Using the Multi-Interval Parameter Estimation Method on a Rolling Blackout in the KEPCO System

Department of Electrical Engineering, Chonnam National University, Gwangju 500-757, Korea
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Academic Editor: Josep M. Guerrero
Received: 21 February 2017 / Revised: 28 March 2017 / Accepted: 30 March 2017 / Published: 4 April 2017
(This article belongs to the Section Electrical Power and Energy System)
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Abstract

This paper describes a multiple time interval (“multi-interval”) parameter estimation method. The multi-interval parameter estimation method estimates a parameter from a new multi-interval prediction error polynomial that can simultaneously consider multiple time intervals. The root of the multi-interval prediction error polynomial includes the effect on each time interval, and the important mode can be estimated by solving one polynomial for multiple time intervals or signals. The algorithm of the multi-interval parameter estimation method proposed in this paper is applied to the test function and the data measured from a PMU (phasor measurement unit) installed in the KEPCO (Korea Electric Power Corporation) system. The results confirm that the proposed multi-interval parameter estimation method accurately and reliably estimates important parameters. View Full-Text
Keywords: low frequency oscillation; multiple time interval; parameter estimation; prediction error polynomial; rolling blackout low frequency oscillation; multiple time interval; parameter estimation; prediction error polynomial; rolling blackout
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Shim, K.-S.; Ahn, S.-J.; Yun, S.-Y.; Choi, J.-H. Analysis of Low Frequency Oscillation Using the Multi-Interval Parameter Estimation Method on a Rolling Blackout in the KEPCO System. Energies 2017, 10, 484.

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