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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
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https://hal-emse.ccsd.cnrs.fr/emse-00693930
Contributor : Florent Breuil <>
Submitted on : Thursday, May 3, 2012 - 10:16:20 AM
Last modification on : Friday, March 6, 2020 - 1:34:29 AM

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

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Natalia Bakhtadze, Alexandre Dolgui, V.A. Lototsky, E.M. Maximov. Intelligent Identification Algorithms for Frequency/Power Control in Smart Grid. 14th IFAC Symposium on Information Control Problems in Manufacturing (INCOM12), May 2012, Bucharest, Romania. pp 940-945, ⟨10.3182/20120523-3-RO-2023.00304⟩. ⟨emse-00693930⟩

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