ANALYSIS OF MODERN POWER EFFICIENT SYSTEMS DEVELOPMENT STRATEGIES
DOI:
https://doi.org/10.20998/2078-5364.2020.3.08Ключові слова:
grid technologies, information management systems, computer technologies, energy savingsАнотація
The article analyzes the existing methods and ways of developing and improving information and energy systems and grids. A number of questions are analyzed regarding the prospects for the development of information and energy systems and power lines. It has been determined that the basis of the electric power industry is the integrated energy system, which provides centralized energy supply to domestic consumers, interacts with the energy systems of neighboring countries, and ensures the export and import of electric power. It is concluded that in recent years, the so-called “cloud technologies” have become increasingly popular. From an analysis of the current state of the electric power industry, it follows that the need for its modernization and improvement. Accordingly, in connection with the transition of the world electric power industry to energy-efficient technologies, the main attention should be directed to studying the connection between the processes of transmission and distribution of electric power , as well as the related “smart” measurements, issues of the operation of energy markets and the operation of regulatory standards.. It was noted that with the creation of the concept of “smart grids”, it is important to develop appropriate regulatory and technical support for the integration of dispersed energy sources using existing modern power electronics devices and storage devices, which will lead to the creation of a capacity management platform based on modern technologies. It is noted that the possibility of functioning in real time is provided due to the specific organization of the information grid, rather than an electric grid, which is provided due to the specific organization of the information grid. The results of the analysis indicate that the control information center must have sufficient computing power and bandwidth of the computing grid as well as spare computing power capacities to permanent operability assurance.Посилання
Stognij B.S., Ky`ry`lenko O.V., Praxovny`k A.V., Deny`syuk S.P. Evolyuciya intelektual`ny`x elektry`chny`x merezh ta yixni perspekty`vy` v Ukrayini // Texnichna elektrodynamika. 2012. № 5. P. 52–67.
«Grids 2030». A National Vision for Electricity’s Second 100 years. Office of Electric Transmission and Distribution of USA Department of Energy, 2003.
European Commission Directorate-General for Research Information and Communi-cation Unit European Communities: «European Technology Platform Smart Grids, Vision and Strategy for Europe’s Electricity Networks of the future», European Communities, 2006.
The National Energy Technology Laboratory: «A vision for the Modern Grid», March 2007.
News and analysis for the modernization and automation of electric power [Electronic resource]. – Access mode: http://www.smartgridnews.com.
Moldernik A., Bakker V., Bosman M G.C., Hurink J.L., Smit C.G.M.Management and Control of Domestic Smart Grid Technology // IEEE Transactions on Smart Grid. 2010. № 2. P. 375–381.
Zabezpechennya nadijnosti funkcionuvannya ta stijkoyi roboty` intelektual`ny`x ener-gety`chny`x sy`stem / S.P. Deny`syuk, P.J. Tarasevy`ch, O.V. Spody`ns`ky`j ta in. // Works of the IED of the NASU. 2010. № 27. P. 27–33.
Stognіy B.S., Kirilenko O.V., Denisyuk S.P. Intelektualni elektrichni merezhi elektro-energetichnih sistem ta yihnye tehnologichne zabezpechennya // Texnichna elektrodynamika. 2010. № 6. P. 44–50.
Khosrow Moslehi, Ranjit Kumar Smart Grid – A Reliability Perspective // Innovative Smart Grid Technologies. 2010. № 2. P. 375–381.
Dapeng Wu, Chi Zhou Fault-Tolerant and Scalable Key Management for Smart Grid // IEEE Transactions on Smart Grid. 2010. №2. P. 375–381.
Ramaswamy P.C., Deconick G. Relevance of voltage control, grid reconfiguration and adaptive protection in smart grids and genetic algorithm as an optimization tool in achieving their control objectives // Networking, Sensing and Control. 2011. № 1. P. 26–31.
Yanmei Li, Jingmmin Wang, Shuangtao Li The Fuzzy Neural Network Model of Smart Grid Risk Evaluation Based on Bayes // Journal of Computers. 2011. № 1. P. 90–97.