Intelligent Identification Algorithms for Frequency/Power Control in Smart Grid

Natalia Bakhtadze Alexandre Dolgui 1, 2 V.A. Lototsky E.M. Maximov
1 DEMO-ENSMSE - Département Décision en Entreprise : Modélisation, Optimisation
2 ROGI-ENSMSE - Equipe : Recherche Opérationnelle pour le Génie Industriel
Abstract : The paper presents intelligent identification methods for Smart Grid based on Wide Area Measuring Systems (WAMS) technology. The methods are based on intelligent process knowledge analysis. The knowledgebase is created and extended in real-time process operation. Intelligent algorithms are offered for predicting power plants dynamics in the tasks of generating facility’s operation optimization. The operator’s decision-making process is modeled by associative search algorithms.
Keywords : Engineering Applications of Artificial Intelligence Intelligent Predictive Control Self-learning Models
Type de document :
Communication dans un congrès
Borangiu, Theodor, Dolgui, Alexandre, Dumitrache, Ioan, Filip, Florin Gheorghe. 14th IFAC Symposium on Information Control Problems in Manufacturing (INCOM12), May 2012, Bucharest, Romania. Elsevier Science, Volume # 14, pp 940-945, 2012, 〈10.3182/20120523-3-RO-2023.00304〉
Liste complète des métadonnées
https://hal-emse.ccsd.cnrs.fr/emse-00693930
Contributeur : Florent Breuil <>
Soumis le : jeudi 3 mai 2012 - 10:16:20
Dernière modification le : mardi 23 octobre 2018 - 14:36:09

Identifiants

Collections

FAYOL-ENSMSE | DEMO-ENSMSE | EMSE | UR-LSTI-ENSMSE | ROGI-ENSMSE | TDS-MACS

Citation

Natalia Bakhtadze, Alexandre Dolgui, V.A. Lototsky, E.M. Maximov. Intelligent Identification Algorithms for Frequency/Power Control in Smart Grid. Borangiu, Theodor, Dolgui, Alexandre, Dumitrache, Ioan, Filip, Florin Gheorghe. 14th IFAC Symposium on Information Control Problems in Manufacturing (INCOM12), May 2012, Bucharest, Romania. Elsevier Science, Volume # 14, pp 940-945, 2012, 〈10.3182/20120523-3-RO-2023.00304〉. 〈emse-00693930〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

117

Contact

support.ccsd.cnrs.fr
hal.support@ccsd.cnrs.fr
Logo CCSD