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

Kwan-Shik Shim, Seon-Ju Ahn, Sang-Yun Yun and Joon-Ho Choi
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Kwan-Shik Shim: Department of Electrical Engineering, Chonnam National University, Gwangju 500-757, Korea
Seon-Ju Ahn: Department of Electrical Engineering, Chonnam National University, Gwangju 500-757, Korea
Sang-Yun Yun: Department of Electrical Engineering, Chonnam National University, Gwangju 500-757, Korea
Joon-Ho Choi: Department of Electrical Engineering, Chonnam National University, Gwangju 500-757, Korea

Energies, 2017, vol. 10, issue 4, 1-18

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.

Keywords: low frequency oscillation; multiple time interval; parameter estimation; prediction error polynomial; rolling blackout (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
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