Energy System Monitoring Based on Fuzzy Cognitive Modeling and Dynamic Clustering

Vadim Borisov, Maksim Dli, Artem Vasiliev, Yaroslav Fedulov, Elena Kirillova and Nikolay Kulyasov
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Vadim Borisov: Department of Computer Engineering, National Research University “Moscow Power Engineering Institute” (Smolensk Branch), 214013 Smolensk, Russia
Maksim Dli: Department of Information Technology in Economics and Management, National Research University “Moscow Power Engineering Institute” (Smolensk Branch), 214013 Smolensk, Russia
Artem Vasiliev: Rector, Moscow University for Industry and Finance “Synergy”, 129090 Moscow, Russia
Yaroslav Fedulov: Department of Computer Engineering, National Research University “Moscow Power Engineering Institute” (Smolensk Branch), 214013 Smolensk, Russia
Elena Kirillova: Department of Information Technology in Economics and Management, National Research University “Moscow Power Engineering Institute” (Smolensk Branch), 214013 Smolensk, Russia
Nikolay Kulyasov: Higher School of Tariff Regulation, Plekhanov Russian University of Economics, 117997 Moscow, Russia

Energies, 2021, vol. 14, issue 18, 1-11

Abstract: A feature of energy systems (ESs) is the diversity of objects, as well as the variety and manifold of the interconnections between them. A method for monitoring ESs clusters is proposed based on the combined use of a fuzzy cognitive approach and dynamic clustering. A fuzzy cognitive approach allows one to represent the interdependencies between ESs objects in the form of fuzzy impact relations, the analysis results of which are used to substantiate indicators for fuzzy clustering of ESs objects and to analyze the stability of clusters and ESs. Dynamic clustering methods are used to monitor the cluster structure of ESs, namely, to assess the drift of cluster centers, to determine the disappearance or emergence of new clusters, and to unite or separate clusters of ESs.

Keywords: energy system; monitoring; fuzzy cognitive model; dynamic clustering (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
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