| DOI: https://doi.org/10.15407/publishing2019.53.005
THE MODELS, TOOLS, AND MEASURES TO ENSURE RELIABLE AND EFFICIENT OPERATION OF ENERGY SUPPLY COMPANIES, BALANCING AND DISTRIBUTION OF ELECTRICITY IN THE IPS OF UKRAINE
O.V.Kyrylenko*, O.F.Butkevych**, P.O. Chernenko, I.V. Blinov***
Institute of Electrodynamics of the National Academy of Sciences of Ukraine,
Peremohy, 56, Kyiv-57, 03680, Ukraine,
е-mail:
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* ORCID ID : http://orcid.org/0000-0003-3610-7670
** ORCID ID : http://orcid.org/0000-0002-6613-0911
*** ORCID ID : http://orcid.org/0000-0001-8010-5301
The main results execution of scientific tasks of the Target Complex Program of Scientific Researches of the National Academy of Science of Ukraine "Scientific and technical bases of energy cooperation between Ukraine and the European Union" (Association-3) obtained in the department No 3 of the Institute of Electrodynamics of the National Academy of Sciences of Ukraine are shortly presented. References 8, figures 2, table 1.
Key words: power supply, relay protection and automatics, electric network post emergency state, model, intelligent system, short-term power consumption forecasting, artificial neural networks, electric power market, transmission capacity
1. Smart electric networks: the elements and modes. Kyiv: Institute of Electrodynamics of the National Academy of Sciences of Ukraine. 2016. 400 p. (Ukr)
2. Butkevych O.F., Parus E.V. Operational analysis of the post-emergency state of distribution electric networks by means of an intelligent system. Pratsi Instytutu Elektrodynamiky Natsionalnoi Akademii Nauk Ukrainy. 2018. Vol. 51. Pp. 5 – 12. (Ukr) DOI: https://doi.org/10.15407/publishing2018.51.005
3. Chernenko P., Martyniuk O., Zaslavsky A., Miroshnyk V. Multifactor modeling and analysis of electrical load of the power system using the data of long-term prehistory. Tekhnichna Elektrodynamika. 2018. No 1. Pp. 87 – 93. (Ukr) DOI: https://doi.org/10.15407/techned2018.01.087
4. Chernenko P, Martyniuk O. Decomposition of Daily Schedule of Electric Load of Power System and the Modeling of its Components in the Short-Term Forecasting. Visnyk of Vinnytsia Polytechnical Institute. 2017. No 6. Pp. 86 – 94. (Ukr)
5. Chernenko P., Miroshnyk V. Increasing the accuracy of short-term electrical forecasting with considering to changes in the structure of consumption during the year. Pratsi Instytutu Elektrodynamiky Natsionalnoi Akademii Nauk Ukrainy. 2017. Vol. 48. Pp. 5 – 11. (Ukr) DOI: https://doi.org/10.15407/publishing2017.48.005
6. Kyrylenko O., Blinov I., Tankevych S. Business information modeling of energy management when implementing the new model of electricity market in Ukraine. Power engineering: economics, technique, ecology. 2016. No 3. Pp. 7 – 14. (Ukr)
7. Blinov I., Tankevych S. Approaches to association of competitive electricity market participants. Power engineering: economics, technique, ecology. 2017. No 3. Pp. 39 – 44. (Ukr) DOI: https://doi.org/10.20535/1813-5420.3.2017.117218
8. Blinov I.; Tankevych S. The harmonized role model of electricity market in Ukraine. 2nd IEEE International Conference on Intelligent Energy and Power Systems (IEPS). Kyiv, Ukraine. 2016. Pp. 107 – 109. DOI: https://doi.org/10.1109/IEPS.2016.7521861
Received 07.06.2019
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