Skip to main content
SpringerLink
Log in

Information Technology of Decision-Making Support on the Energy Management of Hybrid Power Grid

  • Conference paper
  • First Online:
Information and Software Technologies (ICIST 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1486))

Included in the following conference series:

  • 692 Accesses

Abstract

This paper is devoted to the development of information technology for decision making support when controlling the parameters of the hybrid power grid (HPG), considering the meteorological forecast and changes in the required level electricity generation and consumption in the HPG. The problem of decision making in the HPG management is formed under conditions of uncertainty and incompleteness of input information, therefore, it cannot be considered as an optimization problem, but should be considered as a multidimensional and multiscale problem. In this study, models for the collection and preliminary processing of information, models for determining the level of generation from renewable energy sources (RES), models for forecasting electricity consumption, a model for assessing the quality of electricity and a decision-making model are formed, which constitute the algorithmic and information support of information technology for decision support. Management decisions are made using additional current information on the effectiveness of the established regime, as well as forecast information obtained based on the proposed models.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 69.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 89.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Daniele, M., Anna, P.: A method to improve microgrid reliability by optimal sizing PV wind plants and storage systems. In: 20th International Conference on Electricity Distribution, pp. 8–16. CIRED, Prague Czech (2009)

    Google Scholar 

  2. Shendryk, V., Shulyma, O., Parfenenko, Y.: The topicality and the peculiarities of the renewable energy sources integration into the Ukrainian power grids and the heating system. In: González-Prida, V., Raman, A. (eds.) Promoting Sustainable Practices through Energy Engineering and Asset Management, pp. 162–192. IGI Global, Hersey PA (2015)

    Google Scholar 

  3. Analysis of the market “day ahead” and the intraday market for 2019 (6 months). https://www.oree.com.ua/index.php/web/65

  4. Menniti, D., Pinnarelli, A., Sorrentino, N.: A method to improve microgrid reliability by optimal sizing PV/wind plants and storage systems. In.: CIRED 2009 - The 20th International Conference and Exhibition on Electricity Distribution, Prague, Part 2, pp. 1–4 (2009)

    Google Scholar 

  5. Ali, A., Li, W., Hussain, R., He, X., Williams, B.W., Memon, A.H.: Overview of current microgrid policies, incentives and barriers in the European Union, United States and China. Sustainability 9 (2017). https://www.mdpi.com/2071-1050/9/7/1146/pdf

  6. Object Management Group: A standard Business Process Model and Notation (BPMN). http://www.bpmn.org/

  7. Dodonov, O.G., Putyatin, V.G., Valetchik, V.O.: Information, and analytical support for management decisions. Registration Storage Data Process. 7(2), 77–93 (2005)

    Google Scholar 

  8. Schahovska, N.: Datawarehouse and dataspace information base of decision support system. In: 11th International Conference - The Experience of Designing and Application of CAD Systems in Microelectronics, CADSM 2011, pp. 170–173, 5744419 (2011)

    Google Scholar 

  9. Dotsenko, S.I., Tymchuk, S.O., Shendryk, S.O., Shulyma, O.V.: Calculation of capacity insolation for forecasting the production of electrical energy by photovoltaic panels. Bull. Petro Vasylenko Kharkiv Natl. Tech. Univ. Agric. 176, 8–11 (2016)

    Google Scholar 

  10. Shendryk, V., Boiko, O., Parfenenko, Y., Shendryk, S., Tymchuk, S.: Decision making for energy management in smart grid. In: Diaz, V.G.-P., Bonilla, J.P.Z. (eds.) Handbook of Research on Industrial Advancement in Scientific Knowledge, pp. 264–297. IGI Global (2019)

    Google Scholar 

  11. Arcos-Aviles, D., Pascual, J., Marroyo, L., Sanchis, P., Guinjoan, F.: Fuzzy logic-based energy management system design for residential grid-connected microgrids. In.: IEEE Transactions on Smart Grid, pp. 530–543 (2016). https://doi.org/10.1109/TSG.2016.2555245

  12. Tymchuk, S., Shendryk, S., Shendryk, V., Piskarov, O., Kazlauskayte, A.: Fuzzy predictive model of solar panel for decision support system in the management of hybrid grid. In: Damaševičius, R., Vasiljevienė, G. (eds.) ICIST 2019. CCIS, vol. 1078, pp. 416–427. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-30275-7_32

    Chapter  Google Scholar 

  13. Tymchuk, S., Shendryk, S., Shendryk, V., Abramenko, I., Kazlauskaite, A.: The methodology of obtaining power consumption fuzzy predictive model for enterprises. In: Ivanov, V., Trojanowska, J., Pavlenko, I., Zajac, J., Peraković, D. (eds.) DSMIE 2020. LNME, pp. 210–219. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-50794-7_21

    Chapter  Google Scholar 

  14. EN 50160:2010 Voltage Characteristics of electricity supplied by public distribution networks. https://infostore.saiglobal.com/preview/98699522296.pdf?sku=859794_saig_nsai_nsai_2045468

  15. Tymchuk, S., Miroshnyk, O., Shendryk, S., Shendryk, V.: Integral fuzzy power quality assessment for decision support system at management of power network with distributed generation. In: Damaševičius, R., Vasiljevienė, G. (eds.) ICIST 2018. CCIS, vol. 920, pp. 88–97. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-99972-2_7

    Chapter  Google Scholar 

  16. Orlovsky, S.A.: Decision-making problems with fuzzy initial information. In: Science, p. 206 (1981)

    Google Scholar 

  17. Bellman, R.E., Zadeh, L.A.: Decision-making in a fuzzy environment. Manag. Sci. 17(4), B-141 (1970). https://doi.org/10.1287/mnsc.17.4.B141

    Article  MathSciNet  Google Scholar 

  18. Tymchuk, S., Shendryk, S., Shendryk, V., Panov, A., Kazlauskaite, A., Levytska, T.: Decision-making model at the management of hybrid power grid. In: Lopata, A., Butkienė, R., Gudonienė, D., Sukackė, V. (eds.) ICIST 2020. CCIS, vol. 1283, pp. 60–71. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-59506-7_6

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Sumy National Agrarian University, 60 Herasyma Kondratieva Street, Sumy, 40000, Ukraine

    Sergii Shendryk

  2. Sumy State University, 2 Rymskogo-Korsakova Street, Sumy, 40007, Ukraine

    Vira Shendryk & Yuliia Parfenenko

  3. Kharkiv Petro Vasilenko National Technical University of Agriculture, 19 Rizdviana Street, Kharkiv, 61052, Ukraine

    Sergii Tymchuk

Authors
  1. Sergii Shendryk
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Vira Shendryk
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Sergii Tymchuk
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Yuliia Parfenenko
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Vira Shendryk .

Editor information

Editors and Affiliations

  1. Kaunas University of Technology, Kaunas, Lithuania

    Audrius Lopata

  2. Kaunas University of Technology, Kaunas, Lithuania

    Daina Gudonienė

  3. Kaunas University of Technology, Kaunas, Lithuania

    Rita Butkienė

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Shendryk, S., Shendryk, V., Tymchuk, S., Parfenenko, Y. (2021). Information Technology of Decision-Making Support on the Energy Management of Hybrid Power Grid. In: Lopata, A., Gudonienė, D., Butkienė, R. (eds) Information and Software Technologies. ICIST 2021. Communications in Computer and Information Science, vol 1486. Springer, Cham. https://doi.org/10.1007/978-3-030-88304-1_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-88304-1_6

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-88303-4

  • Online ISBN: 978-3-030-88304-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation