Soft Sensors of Power Systems Stability Based on Predictive Models of Dynamic Discrete Bilinear Systems
| Autor: | Igor B. Yadykin, Evgeny M. Maximov, I. Nikulina, Nataliya N. Bakhtadze, Vladimir A. Lototsky |
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| Rok vydání: | 2018 |
| Předmět: |
0209 industrial biotechnology
Computer science 05 social sciences Process (computing) Stability (learning theory) 02 engineering and technology 050601 international relations 0506 political science Interpretation (model theory) Electric power system Nonlinear system 020901 industrial engineering & automation Control and Systems Engineering Control theory Energy (signal processing) |
| Zdroj: | IFAC-PapersOnLine. 51:897-902 |
| ISSN: | 2405-8963 |
| Popis: | The Gramian method to study of the stability of bilinear systems and the new technique of Gramians calculation is investigated. The method of early warning about the loss of stability of the electric power system is proposed. The method is based on the nonlinear process original predictive model. It is shown that the suggested approach has a transparent physical interpretation, i.e., stability loss risk corresponds to the energy of ill-stable modes group. The predicting model is developed based on associative search technique for nonlinear dynamic plants. |
| Databáze: | OpenAIRE |
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