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.

Highlights

  • IntroductionThe power system is connected to generators, loads, and various power equipment through transmission lines, and is always exposed to disturbances, such as load fluctuations and line failures

  • The power system is connected to generators, loads, and various power equipment through transmission lines, and is always exposed to disturbances, such as load fluctuations and line failures.In order to supply power stably during such disturbances, a controller, such as an excitation system or a governor, must operate properly

  • The rolling blackoutSystem implemented in the KEPCO system in September 2011 was a relatively

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Summary

Introduction

The power system is connected to generators, loads, and various power equipment through transmission lines, and is always exposed to disturbances, such as load fluctuations and line failures. In order to supply power stably during such disturbances, a controller, such as an excitation system or a governor, must operate properly. In large-scale power systems, wide area low frequency oscillation can threaten the stable operation of the system. Accurate estimation of the dominant oscillation mode is one of the important factors for stable operation of the system. The oscillation in the power system occurs mainly in the low frequency range below 2.5 Hz, and in particular in the wide frequency mode, where it occurs below 1.0 Hz [1,2]. The local mode oscillates several generators, while the wide area mode simultaneously oscillates many generators

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