Skip to main content
SpringerLink
Log in

Battery Management System for Polish Hybrid Residential Photovoltaic Power Plants

  • Conference paper
  • First Online:
Progress on Pattern Classification, Image Processing and Communications (CORES 2023, IP&C 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 766))

  • 49 Accesses

Abstract

Growing share of Renewable Energy Sources (RES) in Polish electricity system has motivated the Polish government to make changes in the law. Those changes decrease the economic profit of using photovoltaic power plants, but incentivize the use of hybrid systems equipped with batteries. In this paper, the state-of-the-art battery management system, which maximizes self-consumption has been compared to our own time-based proposal, which is focused on economic profit. We used real-life measurements from a 6kWp residential power plant to compare both battery management systems. The results show that controlling batteries with our model allows us to save more money.

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 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
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. Hassanzadeh, M., Etezadi-Amoli, M., Fadali, M.: Practical approach for sub-hourly and hourly prediction of PV power output. In: North American Power Symposium 2010, pp. 1–5 (2010)

    Google Scholar 

  2. Pasqui, M., et al.: A new smart batteries management for renewable energy communities. Sustain. Energy Grids Netw. 34, 101,043 (2023)

    Google Scholar 

  3. PSE SA: Market energy prices (2023). https://www.pse.pl/dane-systemowe/funkcjonowanie-rb/raporty-dobowe-z-funkcjonowania-rb/podstawowe-wskazniki-cenowe-i-kosztowe/rynkowa-cena-energii-elektrycznej-rce

  4. Sejm of Republic of Poland: Act of 29 October 2021 on changing the Act of Renewable Energy Sources Law. (Dz.U. 2021, item. 2376, with amendments) (2021)

    Google Scholar 

  5. Vagropoulos, S.I., Chouliaras, G.I., Kardakos, E.G., Simoglou, C.K., Bakirtzis, A.G.: Comparison of SARIMAX, SARIMA, modified SARIMA and ANN-based models for short-term PV generation forecasting. In: 2016 IEEE International Energy Conference (ENERGYCON), pp. 1–6 (2016)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Systems and Computer Networks, Wrocław University of Science and Technology, Wybrzeże Wyspiańskiego 27, Wrocław, Poland

    Paweł Parczyk & Robert Burduk

Authors
  1. Paweł Parczyk
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Robert Burduk
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Paweł Parczyk .

Editor information

Editors and Affiliations

  1. Wrocław University of Science and Technology, Wrocław, Poland

    Robert Burduk

  2. University of Technology and Life Science, Bydgoszcz, Poland

    Michał Choraś

  3. University of Technology and Life Science, Bydgoszcz, Poland

    Rafał Kozik

  4. Wrocław University of Science and Technology, Wrocław, Poland

    Paweł Ksieniewicz

  5. University of Technology and Life Science, Bydgoszcz, Poland

    Tomasz Marciniak

  6. Wrocław University of Science and Technology, Wrocław, Poland

    Paweł Trajdos

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Parczyk, P., Burduk, R. (2023). Battery Management System for Polish Hybrid Residential Photovoltaic Power Plants. In: Burduk, R., Choraś, M., Kozik, R., Ksieniewicz, P., Marciniak, T., Trajdos, P. (eds) Progress on Pattern Classification, Image Processing and Communications. CORES IP&C 2023 2023. Lecture Notes in Networks and Systems, vol 766. Springer, Cham. https://doi.org/10.1007/978-3-031-41630-9_20

Download citation

Publish with us

Policies and ethics

Search

Navigation