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The development of a joint modelling framework for operational flexibility in power systems

Voropai N., Rehtanz C., Kippelt S., Tomin N., Haeger U., Efimov D., Kurbatsky V., Kolosok I. The development of a joint modelling framework for operational flexibility in power systems // 2019 16th Conference on Electrical Machines, Drives and Power Systems, ELMA 2019 - Proceedings. ID: 8771685. 2019. ISBN (print): 9781728114132. DOI: 10.1109/ELMA.2019.8771685 The TU Dortmund University (Germany) and the Energy Systems Institute of the Russian Academy of Sciences (Russia) launched a joint research...

Теги: artificial intelligence , electric power system , flexibility , machine learning , power system security , electric machinery , electric power systems , learning systems , different layers , energy systems , modelling framework , operational flexibility , russian aca
Раздел: ИСЭМ СО РАН
Intelligent control and protection of power systems in the Russian cities

Voropai N., Kurbatsky V., Tomin N., Efimov D., Kolosok I. Intelligent control and protection of power systems in the Russian cities // SMARTGREENS 2019 - Proceedings of the 8th International Conference on Smart Cities and Green ICT Systems. 2019. P.19-29. ISBN (print): 9789897583735. A distinctive feature of the energy system development in Russian megalopolises is the need for a comprehensive approach to the problem of making the network intelligent. The paper presents the following contributions:...

Теги: artificial intelligence , control , power grid , protection , russia , smart cities , control engineering , electric power system protection , electric power transmission networks , green computing , intelligent agents , learning systems , multi agent systems , power
Раздел: ИСЭМ СО РАН
Non-cascade speed and current control of IPMSM for electrical vehicles based on model predictive control

Gao F., Liu F., Sidorov D.N. Non-cascade speed and current control of IPMSM for electrical vehicles based on model predictive control // ISCIIA and ITCA 2018 - 8th International Symposium on Computational Intelligence and Industrial Applications and 12th China-Japan International Workshop on Information Technology and Control Applications. 2018. In this paper, the speed tracking problem of the interior permanent magnet synchronous machines(IPMSM) of electric vehicle is studied. A non-cascade speed...

Теги: interior permanent magnet synchronous motor , model predictive control , non-cascade , speed and current control , artificial intelligence , cascade control systems , controllers , electric current control , permanent magnets , predictive control systems , speed , c
Раздел: ИСЭМ СО РАН
Situation calculus application in tasks of intelligent decision-making support

Massel L., Kuzmin V. Situation calculus application in tasks of intelligent decision-making support // RPC 2018 - Proceedings of the 3rd Russian-Pacific Conference on Computer Technology and Applications. ID: 8482131. 2018. ISBN (print): 9781538675311. DOI: 10.1109/RPC.2018.8482131 The basic concepts of situational calculus are considered. The architecture of the intelligent decision support system (Situation polygon) for strategy development in the energy sector is presented. It is based on the...

Теги: contingency management , decision-making , situation calculus , situation polygon , situational management , artificial intelligence , calculations , decision support systems , geometry , semantics , basic concepts , intelligent decision making , intelligent decision
Раздел: ИСЭМ СО РАН
Ontology-based decision support system for forecasting of energy infrastructure development

Kopaygorodsky A. Ontology-based decision support system for forecasting of energy infrastructure development // RPC 2018 - Proceedings of the 3rd Russian-Pacific Conference on Computer Technology and Applications. ID: 8482172. 2018. ISBN (print): 9781538675311. DOI: 10.1109/RPC.2018.8482172 This article reports the approach and software tools for decision support in forecasting the energy infrastructure development. Support of expert activity is based on using the ontological hybrid approach to...

Теги: energy infrastructure development forecasting , expert decision support , knowledge management , ontology , artificial intelligence , computer software , forecasting , decision supports , energy infrastructures , expert knowledge , hybrid approach , intelligent info
Раздел: ИСЭМ СО РАН
A Suite of Intelligent Tools for Early Detection and Prevention of Blackouts in Power Interconnections

Voropai N.I., Tomin N.V., Sidorov D.N., Kurbatsky V.G., Panasetsky D.A., Zhukov A.V., Efimov D.N., Osak A.B. A Suite of Intelligent Tools for Early Detection and Prevention of Blackouts in Power Interconnections // Automation and Remote Control. Vol.79. No.10. 2018. P.1741-1755. DOI: 10.1134/S0005117918100016 We propose a suite of intelligent tools based on the integration of methods of agent modeling and machine learning for the improvement of protection systems and emergency automatics. We propose...

Теги: agent modeling , electric power systems , emergency automatics , l-index , machine learning , voltage collapse , artificial intelligence , decision trees , electric power system interconnection , learning systems , online systems , software agents , agent model , elec
Раздел: ИСЭМ СО РАН
Machine learning algorithms application to road defects classification

Nguyen T.H., Nguyen T.L., Sidorov D.N., Dreglea A.I. Machine learning algorithms application to road defects classification // Intelligent Decision Technologies. Vol.12. №1. 2018. P.59-66. DOI: 10.3233/IDT-170323 The novel approach for automatic detection and classification of road defects is proposed based on shape and texture features analysis. The system includes three main steps: defects position detection, feature contour extraction followed by classification of defects. The proposed approach...

Теги: a random forest algorithm , boosting algorithm , graph-cuts method , markov random fields , pavement condition , road defects , adaptive boosting , artificial intelligence , decision trees , defects , feature extraction , graphic methods , image segmentation , learnin
Раздел: ИСЭМ СО РАН
Извлечение скрытого знания в информационном поле

Елсуков П.Ю. Извлечение скрытого знания в информационном поле // Славянский форум. No.3(17). 2017. P.54-61. Статья раскрывает особенности скрытого знания. Описаны виды скрытого знания. Описаны причины появления скрытого знания. Описаны коррелятивные методы для нахождения скрытого знания и трансформации его в явное знание. Описаны информационные отношения как основа нахождения скрытых знаний и преобразование их в явные знания. Анализируется различие между имплицитными и тацитными знаниями. нет

Теги: знание , информационное поле , скрытое знание , явное знание , корреляты , извлечение знаний , искусственный интеллект , knowledge , information field , hidden knowledge , explicit knowledge , correlates , knowledge extraction , artificial intelligence
Раздел: ИСЭМ СО РАН
Machine learning in electric power systems adequacy assessment using Monte-Carlo method

Boyarkin D.., Krupenev D.S., Iakubovskiy D.., Sidorov D.N. Machine learning in electric power systems adequacy assessment using Monte-Carlo method // Proceedings - 2017 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2017. ID: 8109871. P.201-205. ISBN (print): 9781538615966. DOI: 10.1109/SIBIRCON.2017.8109871 This paper deals with the computational efficiency related problem appearing in electric power systems adequacy assessment using Monte-Carlo method...

Теги: adequacy assessment , electric power systems , machine learning , monte carlo method , random forest , support vector machine , artificial intelligence , computational efficiency , decision trees , efficiency , learning systems , problem solving , support vector mach
Раздел: ИСЭМ СО РАН
Identification of pre-emergency states in the electric power system on the basis of machine learning technologies

Kurbatsky V., Tomin N. Identification of pre-emergency states in the electric power system on the basis of machine learning technologies // Proceedings of the World Congress on Intelligent Control and Automation (WCICA). 2016. P.378-383. ISBN (print): 9 781 467 . DOI: 10.1109/WCICA.2016.7578291 The paper proposes a concept of an intelligent system for early detection of pre-emergency state in electric power system as an option of preventive operation and emergency control. The main goal of such...

Теги: artificial intelligence , electric power systems , intelligent control , intelligent systems , learning algorithms , learning systems , construction principle , emergency control , emergency situation , emerge
Раздел: ИСЭМ СО РАН


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