A Method for Online Identification of a Subset of Synchronous Generator Fundamental Parameters from Monitoring Systems Data
| Autor: | Luis Otavio S. Grillo, A.S. e Silva, Fabrizio L. Freitas |
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| Rok vydání: | 2021 |
| Předmět: |
Computer science
020209 energy 020208 electrical & electronic engineering Energy Engineering and Power Technology 02 engineering and technology Permanent magnet synchronous generator Synthetic data Computer Science Applications Power (physics) Identification (information) Control and Systems Engineering Control theory Simple (abstract algebra) Non-linear least squares 0202 electrical engineering electronic engineering information engineering Range (statistics) Electrical and Electronic Engineering Synchronous motor |
| Zdroj: | Journal of Control, Automation and Electrical Systems. 32:672-681 |
| ISSN: | 2195-3899 2195-3880 |
| DOI: | 10.1007/s40313-021-00697-x |
| Popis: | Monitoring systems are common in small and large power plants, providing measurements of basic electrical, mechanical and thermal variables. These measurements can be used for the identification of the synchronous generator parameters. In this paper, a simple method for the identification of a subset of synchronous generator parameters, using basic measurements provided by monitoring systems, is proposed. The identification is performed in normal operating conditions using a synchronous machine simplified model suited for operating conditions under small disturbances. Three identification models are derived, each one depending on a subset of parameters. Three optimization subproblems are then solved by minimizing the residues between each model output and a system measurement. The resulting nonlinear least squares problems are solved by the interior-point method taking into account constraints on the parameters range. A method is proposed to estimate the load angle which is required in the identification. Results are presented for synthetic data and real data, from a 25 MVA generator in a hydroelectric power plant. |
| Databáze: | OpenAIRE |
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