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DOI: https://doi.org/10.15407/techned2019.01.016

THE INFLUENCE OF THE STATISTICAL CHARACTER OF SYSTEM ELEMENTS PARAMETERS ON THE LEVEL OF STORAGE CHARGE

Journal Tekhnichna elektrodynamika
Publisher Institute of Electrodynamics National Academy of Science of Ukraine
ISSN 1607-7970 (print), 2218-1903 (online)
Issue No 1, 2019 (January/February)
Pages 16 – 20

 

Authors
K.S. Osypenko*, V.J. Zhuikov**
National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”,
pr. Peremohy, 37, Kyiv, 03056, Ukraine,
e-mail: Этот e-mail адрес защищен от спам-ботов, для его просмотра у Вас должен быть включен Javascript

* ORCID ID : http://orcid.org/0000-0002-6674-8332
** ORCID ID : http://orcid.org/0000-0002-3338-2426

 

 

Abstract

A simplified equivalent block diagram of a system with a wind generator is presented. It is noted that in order to fulfill the maximum energy selection condition, it is necessary to determine the value of the storage charge current, the minimum charge energy and the maximum capacitance value, which depend on the statistical characteristics of the energy at the output of the wind generator and the load. Equations for calculating these characteristics are given. It is shown that the connection of an additional storage, which provides a deterministic change of the load energy value, makes it possible to reduce the capacity of the main storage. References 8, figures 2, table 1.

 

Key words: wind generator, maximum energy selection, storage, random processes.

 

Received:    02.03.2018
Accepted:    27.06.2018
Published:   10.01.2019

 

References

1. Baziuk T.M., Blinov I.V., Butkevych O.F., Honcharenko I.S., Denysiuk S.P., Zhuikov V.Ia., Kyrylenko O.V., Lukianenko L.M., Mykolaiets D.A., Osypenko K.S., Pavlovskyi V.V., Rybina O.B., Steliuk A.O., Tankevych S.Ie., Trach I.V. Intelligent power systems: elements and modes. Kyiv: Institute of Electrodynamics of the NAS of Ukraine, 2016. 400 p. (Ukr)
2. G. Madhusudhana Rao, S. Sundeep, B.V. Sanker Ram. Maximum power point tracking for wind generators using an expert systems. International conference on Signal Processing, Communication, Power and Embedded System (SCOPES). Paralakhemundi, India, 3-5 Oct. 2016. Pp. 302-308.
3. S. X. Chen, H.B. Gooi, M.Q. Wang. Sizing of energy storage for microgrids. IEEE Transactions on Smart Grid. 2012. Vol. 3. No 1. Pp. 142–151. DOI: https://doi.org/10.1109/TSG.2011.2160745
4. Buasarello T.D.C., Pomilio J.A. Battery storage system with active filtering function based on the conservative power theory for wind generators. IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES). Hamilton, New Zealand, 31 Jan.-2 Feb. 2018. Pp. 21-26. DOI: https://doi.org/10.1109/IESES.2018.8349844
5. Zhuikov V., Osypenko K. Compensator currents form determination considering wind generator aerodynamic resistance. IEEE International conference on intelligent energy and power systems (IEPS). Kyiv, Ukraine, 2-6 June 2014. Pp. 168-170. DOI: https://doi.org/10.1109/IEPS.2014.6874173
6. Zhuikov V.Ia., Pavlov V.B., Stzheletsky R.H. Systems of anticipatory control of gate converters. Kyiv: Naukova dumka, 1991. 237 p. (Rus)
7. Archive of meteorological observations. Data on airfields in Europe URL: http://www.pogoda.by/zip-avia/index.php?Year=2015&sortBy=country
8. Kashima K., Aoyama H., Ohta Y. Modeling and linearization of systems under heavy-tailed stochastic noise with application to renewable energy assessment. IEEE 54th Annual Conference on Decision and Control (CDC). Osaka, Japan, 15-18 Dec. 2015. Рp. 1852-1857.

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