Identification of System Characteristics of a Power System with Time Series Data

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Other Title
  • 時系列データを用いた電力系統の特性同定手法
  • 時系列データを用いた電力系統の特性同定手法--小規模単独系統の周波数変動特性の同定
  • ジケイレツ データ オ モチイタ デンリョク ケイトウ ノ トクセイ ドウテイ シュホウ ショウキボ タンドク ケイトウ ノ シュウハスウ ヘンドウ トクセイ ノ ドウテイ
  • 小規模単独系統の周波数変動特性の同定
  • Identification of Frequency Fluctuation Characteristics of a Small-Scale Isolated System

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Abstract

Understanding actual characteristics of a power system with recorded time series data is of great importance, for example, to improve the performance of the system. Although system identification is a well-known technique to achieve this goal, its applicability to a certain system should be examined for the particular case because its accuracy highly depends on the inherent characteristics of the system. While many papers have discussed application of a system identification technique to a power system, few papers have examined its applicability to the actual data of a power system. This paper presents a new system identification method to estimate characteristics of a power system while using output of intermittent generators or fluctuating loads as an external disturbance. The method employs cross spectra and coherence as a key factor in the identification; it estimates a transfer function of a power system, contribution of observed disturbance to total disturbance, etc. The method is applied to time series data of two model systems: simulation results and measured data of an isolated power system with diesel generators. The study gives satisfactory results; implication on the accuracy of the method is discussed through the sample studies.

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