35367

Автор(ы): 

Автор(ов): 

2

Параметры публикации

Тип публикации: 

Глава в книге

Название: 

Knowledge-Based Models for Smart Grid

Сведения об издании: 

Editors: Różewski, P., Novikov, D., Bakhtadze, N., Zaikin, O.

ISBN/ISSN: 

ISBN: 978-3-319-23337-6

Наименование источника: 

  • New Frontiers in Information and Production Systems Modeling and Analysis: Incentive Mechanisms, Competence Management, Knowledge-based Production

Город: 

  • Heidelberg, Germany

Издательство: 

  • Springer

Год издания: 

2016

Страницы: 

189-210
Аннотация
At the plant level, a smart grid unifies power grids, consumers and generating facilities in a single automated system which enables real-time tracking and monitoring the regimes of all participants. It responds automatically to the changes of all parameters in the power grid and maintains no-break power with maximum benefits and lower human involvement. The most effective control can be attained in smart grids by using intelligent agents. Their functionalities should be based on intelligent control algorithms with predictive models featuring high-precision treatment of process knowledge and adaptive learning. This chapter offers a concept of developing an intelligent multi-agent system that maintains stability of Russia’s Smart Grid incorporating an active analytical network (AAN) and new algorithms to determine the degree of the system’s stability by using Gramians.

Библиографическая ссылка: 

Максимов Е.М., Ядыкин И.Б. Knowledge-Based Models for Smart Grid / New Frontiers in Information and Production Systems Modeling and Analysis: Incentive Mechanisms, Competence Management, Knowledge-based Production. Heidelberg: Springer, 2016. С. 189-210.