<abstract xml:lang="en" xmlns="http://www.w3.org/1999/xhtml"><p>In this paper, a multiple model approach is proposed for the identification of synchronous generators. In the literature, the same structure often is used for all local models. Therefore, to obtain a precise model for the operating condition of the synchronous generator with severely nonlinear behavior, many local models are required. The proposed method determines the complexity of local models based on complexity of behavior of the synchronous generator at different operating conditions. There are two choices for increasing model precision at each iteration of the proposed method: (i) increasing the number of local models in one region, or (ii) increasing local model complexity in the same region. The proposed method has been tested on experimental data collected on a 3 kVA micro-machine. In the study, the field voltage is considered as the input and the active output power and the terminal voltage are considered as the outputs of the synchronous generator. The proposed method provides a more precise model with fewer parameters compared to some well known methods such as LOLIMOT and global polynomial models.</p></abstract>

In this paper, a multiple model approach is proposed for the identification of synchronous generators. In the literature, the same structure often is used for all local models. Therefore, to obtain a precise model for the operating condition of the synchronous generator with severely nonlinear behavior, many local models are required. The proposed method determines the complexity of local models based on complexity of behavior of the synchronous generator at different operating conditions. There are two choices for increasing model precision at each iteration of the proposed method: (i) increasing the number of local models in one region, or (ii) increasing local model complexity in the same region. The proposed method has been tested on experimental data collected on a 3 kVA micro-machine. In the study, the field voltage is considered as the input and the active output power and the terminal voltage are considered as the outputs of the synchronous generator. The proposed method provides a more precise model with fewer parameters compared to some well known methods such as LOLIMOT and global polynomial models.

A Multiple-Model Approach for Synchronous Generator Nonlinear System Identification

Electrical Engineering Department, Amirkabir University of Technology, Tehran, Iran

Journal of Electrical Engineering

In this paper, a multiple model approach is proposed for the identification of synchronous generators. In the literature, the same structure often is used for...

A Multiple-Model Approach for Synchronous Generator Nonlinear System Identification

Published Online: Sep 17, 2012

Page range: 249 - 254

DOI: https://doi.org/10.2478/v10187-012-0035-5

Keywords
multiple model approach, power system identification, power system modeling, synchronous generator

This content is open access.

A Multiple-Model Approach for Synchronous Generator Nonlinear System Identification

Published Online: Sep 17, 2012

Page range: 249 - 254

DOI: https://doi.org/10.2478/v10187-012-0035-5

Keywordsmultiple model approach, power system identification, power system modeling, synchronous generator

This content is open access.

Keywords
multiple model approach, power system identification, power system modeling, synchronous generator