Comparative Analysis of Power Loses in Selected Measurement Devices Used in SMART GRID Systems

  • Aleksander Nawrat
  • Anna Piaskowy
  • Artur Skórkowski
  • Tadeusz Topór-Kamiński
Part of the Studies in Computational Intelligence book series (SCI, volume 481)


This article provides information on smart grid and smart measurement systems with a special focus on the advantages of their implementation as well as concerns present at the stage of design and component selection. The tests conducted on a selected group of measurement devices used in smart grid systems made it possible to compare power losses characteristic for these devices. In the analysis presented below, both classic inductive meters and electronic meters with various communication modems were used.


Power Loss Smart Grid Home Network Adaptive Transmission Apparent Power 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    European Commission: Communication from the European Commission to the European Parliament, the Council, the European Economic and Social Committee and the Committee of Regions: Smart Grids: from innovation to deployment, COM/2011/0202, Brussels (April 12, 2011)Google Scholar
  2. 2.
    Directive 2009/72/EC of the European Parliament and of the Council of 13 July 2009 concerning common rules for the internal market in electricity and repealing Directive 2003/54/EC Text with EEA relevance. Official Journal L 211 (September 14, 2009)Google Scholar
  3. 3.
    Krzysztof, P.: International legal instruments and recommendations concerning smart grid area. In: Materials for 9th Science and Technology Conference, PPM 2012, Krynica-Zdrój (2012)Google Scholar
  4. 4.
    Waldemar, N.: Rozproszone systemy pomiarowe. Transport and Communication Publishers, Warszawa (2006)Google Scholar
  5. 5.
    Wiesław, W.: Organizacja komputerowych systemów pomiarowych. Warsaw Technical University Publishing House, Warsaw (1997)Google Scholar
  6. 6.
    Jacek, Ś., Marcin, T.: Technika smart meteringu, Warsaw (2010)Google Scholar
  7. 7.
    Ryszard, M.: Integracja inteligentnych pomiar pomiarów zużycia energii elektrycznej, gazu, ciepła i wody. Polish Federation of Engineering Associations NOT, Warsaw (2009)Google Scholar
  8. 8.
    Studium wdrożenia inteligentnego pomiaru energii elektrycznej w Polsce. Institute of Power Engineering, Branch in Gdansk, R&D Unit, Gdansk (2010)Google Scholar
  9. 9.
    Suchanek, J.: Automatyzacja odczytów wskazań liczników energii elektrycznejw gospodarstwach domowych. Wiadomości Elektrotechniczne Magazine (4) (2004) Google Scholar
  10. 10.
    Maćkowski, M.: The packet transmission in the GPRS, EDGE, UMTS networks in Real-Time measuring systems. Pomiary Automatyka Kontrola Magazine (06), 362–364 (2008)Google Scholar
  11. 11.
    Kocot, M., Olszyna, J., Winiecki, W.: Remotely configurable distributed measurement system. Pomiary Automatyka Kontrola Magazine (09), 792–794 (2012)Google Scholar
  12. 12.
    Topór-Kamiński, T., Żurkowski, R., Grygiel, M.: Selected methods of measuring the delay in data transmission systems with wireless network interfaces. Acta Phys. Pol. A 120(4), s.748–s.754 (2011)Google Scholar
  13. 13.
    Topór-Kamiñski, T., Krupanek, B., Homa, J.: Delays models of measurement and control data transmission network. In: Nawrat, A., Simek, K., Świerniak, A. (eds.) Advanced Technologies for Intelligent Systems of National Border Security. SCI, vol. 440, pp. 257–278. Springer, Heidelberg (2013)CrossRefGoogle Scholar
  14. 14.
    Iwaneczko, P., Jędrasiak, K., Daniec, K., Nawrat, A.: A prototype of unmanned aerial vehicle for image acquisition. In: Bolc, L., Tadeusiewicz, R., Chmielewski, L.J., Wojciechowski, K. (eds.) ICCVG 2012. LNCS, vol. 7594, pp. 87–94. Springer, Heidelberg (2012)CrossRefGoogle Scholar
  15. 15.
    Czornik, A., Niezabitowski, M.: Lyapunov exponents for systems with unbounded coefficients. Dynamical Systems: An International Journal (2012)Google Scholar
  16. 16.
    Czornik, A., Nawrat, A., Niezabitowski, M.: On the Lyapunov exponents of a class of second-order discrete time linear systems with bounded perturbations. Dynamical Systems: An International Journal (2012)Google Scholar
  17. 17.
    Czornik, A., Niezabitowski, M.: On the spectrum of discrete time-varying linear systems. Nonlinear Analysis: Hybrid Systems 9, 27–41 (2013)MathSciNetCrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  • Aleksander Nawrat
    • 1
  • Anna Piaskowy
    • 1
  • Artur Skórkowski
    • 1
  • Tadeusz Topór-Kamiński
    • 1
  1. 1.Institute of Automatic ControlSilesian University of TechnologyGliwicePoland

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