48270

Автор(ы): 

Автор(ов): 

5

Параметры публикации

Тип публикации: 

Статья в журнале/сборнике

Название: 

Soft Sensors of Power Systems Stability Based on Predictive Models of Dynamic Discrete Bilinear Systems

DOI: 

10.1016/j.ifacol.2018.08.456

Наименование источника: 

  • IFAC-PapersOnLine

Обозначение и номер тома: 

Volume 51, Issue 11

Город: 

  • Bergamo, Italy

Издательство: 

  • Elsevier

Год издания: 

2018

Страницы: 

897-902
Аннотация
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.

Библиографическая ссылка: 

Бахтадзе Н.Н., Лотоцкий В.А., Никулина И.В., Максимов Е.М., Ядыкин И.Б. Soft Sensors of Power Systems Stability Based on Predictive Models of Dynamic Discrete Bilinear Systems // IFAC-PapersOnLine. 2018. Volume 51, Issue 11. С. 897-902.