PDF Печать E-mail


DOI: https://doi.org/10.15407/techned2016.01.055

APPLICATION OF CONTEXTUAL DATA FOR CONTROL OF DISTRIBUTED POWER GRID

Journal Tekhnichna elektrodynamika
Publisher Institute of Electrodynamics National Academy of Science of Ukraine
ISSN 1607-7970 (print), 2218-1903 (online)
Issue № 1, 2016 (January/February)
Pages 55 – 59

 

Authors
Verbytskyi I.V., Kyselova A.G.
National Technical University of Ukraine “Kyiv Polytechnic Institute”,
Peremohy av., 37, Кyiv, 03056, Ukraine,
e-mail: Этот e-mail адрес защищен от спам-ботов, для его просмотра у Вас должен быть включен Javascript

 

Abstract

The features of the structure of distributed power grid to the power and data level are described. The necessity of application of heterogeneous data on external conditions, power equipment operating modes and the characteristic of the load for network management is shown. The expediency of hierarchical control principle based on logical rules is substantiated. The necessity of data pre-processing and formalization in form of context in order to reduce the volume of circulating and processed information is justified. Implementing the procedure of digital filtering, verification and data forecast allowed reducing the noise and inertia of the control system. The principles of formalization of context, which reduced the volume of data transmitted and processed were elaborated. The approach of the formation of the rules allows applying intellectual control algorithms for power system, improving the quality of management. References 8, figures 3, table 1.

 

Key words: context, distributed power grid, hierarchical control principle.

 

Received:    15.04.2015
Accepted:    24.12.2015
Published:   29.01.2016

 

References

1. Zgurovsky M.Z., Pankratova N.D. System analysis: problems, methodology, applications.  Кyiv: Naukova Dymka, 2005.  743 p. (Ukr)
2. Kirilenko A.V., Yakimenko U.I., Zhuykov V.Ya., Denysiuk S.P. Converters parameters in smart electricity system. Pratsi Instytutu Elektrodynamiky. Spetsialnyi vypusk.  2010.  P. 17-23. (Rus)
3. Romashko V.Ya., Verbitsky I.V., Kyrychyk I.I. Energy loses analyze in solar battery maximum power picking system. Tekhnichna Elektrodynamika.  2014.  No 4.  P. 55-57. (Ukr)
4. Stogniy B.S., Kyrylenko O.V., Prahovnyk O.V., Denysiuk S.P. The evolution and prospects of smart grids in Ukraine. Tekhnichna Elektrodynamika. 2012.  No 5.  P. 52-67. (Ukr)
5. Dey A.K. Understanding and Using Context. Personal and Ubiquitous Computing J.  2001.  Vol. 5.  No 1.  P. 4–7. DOI:  https://doi.org/10.1007/s007790170019
6. Kyrylenko O.V., Strzelecki R., Denysiuk S.P., Derevianko D.G. Main Features of the Stability and Reliability Enhancement of Electricity GRID with DG in Ukraine Based on IEEE Standards. Tekhnichna Elektrodynamika. 2013.  No 6.  P. 52-57.
7. Stephan Sigg. Expectation aware in-network context processing. 4th ACM International Workshop on Context-Awareness for Self-Managing Systems, (CASEMANS'10) ACM, New York, USA.  2010.  P. 9-14.
8. Zhuikov V., Kyselova A. Integration of context-aware control system in microgrid. IEEE XXXIII International Scientific Conference Electronics and Nanotechnology (ELNANO), Kiyv , 2013.  P. 386-390. DOI:  https://doi.org/10.1109/ELNANO.2013.6552029

 

PDF