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Identification of system characteristics of a power system with time series data. Identification of frequency fluctuation characteristics of a small‐scale isolated system
Author(s) -
Nanahara Toshiya,
Yamashita Koji,
Inoue Toshio,
Iramina Atsushi,
Asato Sadao
Publication year - 2005
Publication title -
electrical engineering in japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.136
H-Index - 28
eISSN - 1520-6416
pISSN - 0424-7760
DOI - 10.1002/eej.20051
Subject(s) - electric power system , identification (biology) , transfer function , system identification , series (stratigraphy) , power (physics) , computer science , scale (ratio) , control theory (sociology) , function (biology) , engineering , control engineering , data mining , control (management) , artificial intelligence , paleontology , botany , physics , quantum mechanics , biology , measure (data warehouse) , evolutionary biology , electrical engineering
Understanding actual characteristics of a power system with recorded time series data is of great importance, for example, in improving 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, and so on. 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. © 2004 Wiley Periodicals, Inc. Electr Eng Jpn, 150(3): 36–45, 2005; Published online in Wiley InterScience ( www.interscience.wiley.com ). DOI 10.1002/eej.20051