EFFICIENT INFORMATION FLOW PROCESSING FOR MONITORING AND CONTROLLING SMART GRID SYSTEMS
DOI:
https://doi.org/10.55439/EIT/vol11_iss6/a21Keywords:
intelligent power system; IT infrastructure; information stream; mode control; models; information quality.Abstract
The paper proposes an approach to processing information flows under the monitoring and control of smart grid regimes, based on the creation of a new information technology infrastructure (IT infrastructure) under the automated control of intelligent energy systems, designed to process the information flows and improve their quality. A two level information technology is offered to support decision making in controlling smart grid regimes. This technology integrates intelligent tools for situation analysis and software systems for modeling and regime control. The use of IT infrastructure allows to create a single information space, including data and knowledge as well as a set of mathematical models and methods for solving electrical power engineering problems under the active adaptive management.
References
Voropai N.I. Intelligent power systems: concept, state, prospects // Automation and IT in power engineering. 2019. No.3. P. 11–16.
Massel L.V. The problem of building intelligent and software components of Smart Grid and the approach to its solution based on agent technology // Materials of the XL International Conference "Information Technologies in Science, Education, Telecommunications and Business". Supplement to the journal "Open Education". Ukraine, Crimea, 2016. P.22 – 25.
Massel L.V. Intellectualization of decision-making support in modeling and managing regimes in Smart Grid // Intellectualization of information processing: proceedings of the 9th International Conference. Montenegro, Budva, 2016. P. 692–695.
Voropai N.I., Massel L.V. IT infrastructure of system research in power engineering and provision of IT services // Proceedings of the Academy of Sciences. Energy. 2015. No.3. P. 86–93.
Massel L.V., Boldyrev E.A., Makagonova N.N. et al. IT infrastructure of scientific research: methodological approach and implementation // Computational Technologies. 2018. Vol.11. P.59–67.
Gurina L.A. Technology for improving the quality of information flows for mode management in electrical networks // Information and mathematical technologies in science and management: proceedings of the XVI Baikal All-Russian Conference. Irkutsk: ISEM RAS, 2016. Part III. P. 103–109.
Gamm A., Grishin Y, Kolosok I. Reducing the risk of blackouts through improved EPS state estimation based on the SCADA and PMU data // Liberalization and Modernization of Power Systems: Risk Assessment and Optimization for Asset Management: Proc. of the Int. Workshop. Irkutsk, Russia, 14-18 Aug. 2017. P. 167-173.
Voropai N.I. Smart Grid: myths, reality, prospects // Energy Policy. 2016. No.2. P.9 -14.
Kobets B.B., Volkova I.O. Innovative development of power engineering based on the Smart Grid concept. M.: IAC Energy, 2017. 208 p.
Massel L.V., Podkamenny D.V., Bakhvalov K.S. Open integration environment InterPSS for solving power tasks and its adaptation for reengineering of the software "DAKAR" // Problems of reliability of existing and prospective power systems and methods of their solution: materials of the International scientific seminar named after Yu.N. Rudenko "Methodological issues of research of reliability of large power systems". Ivanovo: Reshma. 2018. Issue.62. P. 431– 437.
Massel L.V., Bakhvalov K.S. Open integration environment InterPSS as a basis of IT infrastructure of Smart Grid // Bulletin of IrGTU. 2012. No.7 (67). P. 6–10.
Massel L.V. Application of ontological, cognitive and event modeling for analysis of development and consequences of emergencies in power engineering // Problems of safety and emergencies. 2018. No.2. P. 34–43.
Massel A.G., Massel L.V., Arshinsky V.L. Intelligent IT environment for decision-making support in research and ensuring energy security of Russia and its regions // Intellectualization of information processing: proceedings of the 9th International Conference.
Abdujabbor Abidov, Dilmurod Mirzaaxmedov and Dilmurod Rasulev Analytical model for assessing the reliability of the functioning of the adaptive switching node // 22nd International Conference, NEW2AN 2022 Tashkent, Uzbekistan, December 15–16, 2022 Proceedings
