Monitoring Technologies

  • Kay Görner
  • Ettore Bompard
  • Tao Huang
  • Michael Kleemann
Chapter
Part of the Power Systems book series (POWSYS)

Abstract

Proven technology such as conventional measurement devices of current, voltage and power provide snapshots of the power system state. Some measurements are synchronized with different accuracy of timestamp. Quite often data is not complete, consistent or lost at all. The state estimation algorithm enables detection of wrong data and provides consistent system state. State Estimation results are the input for applications such as load flow calculation.

Keywords

Power System Control Center Status Message Phasor Measurement Unit Data Acquisition Unit 
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.

References

  1. 1.
    V Madani, M Begovic, Global industry experiences with system integrity protection schemes (SIPS). IEEE PSRC Working Group C 4 (2009)Google Scholar
  2. 2.
    ENTSO-E, Continental Europe Operation Handbook, 2nd release - Policy 7, (2013), Download Jan 14th 2014Google Scholar
  3. 3.
    K.-P. Brand, V. Lohmann, W. Wimmer, Substation Automation Handbook (Utility Automation Consulting Lohmann, 2003), (http://www.uac.ch), ISBN 3-85758-951-5, p. 24
  4. 4.
    D. Rumpel, J.R. Sun, Netzleittechnik (Springer, Berlin, 1989)Google Scholar
  5. 5.
    E.-G. Tietze, Netzleittechnik, Teil 1: Grundlagen Anlagentechnik für elektrische Verteilungsnetze—Band 20 (VDE Verlag, 2006)Google Scholar
  6. 6.
    E. Handschin, W. Kaufmann, G. Schaffer, Netzleittechnik für Verteilnetze (VWEW-Verlag, Frankfurt a. M., 1992)Google Scholar
  7. 7.
    N. Neuel-Lange, C. Oerter, M. Zdrallek, in State Identification and Automatic Control of Smart Low Voltage Grids. IEEE PES innovative smart grid technologies (ISGT) Europe conference, Berlin 2012Google Scholar
  8. 8.
    K. von Sengbusch, Intelligente nachrüstbare Überwachung von Ortsnetzstationen als Teil von Smart Grids. FNN/ETG-Tutorial Schutz- und Leittechnik (2010)Google Scholar
  9. 9.
    M. Kleemann, C. Rehtanz, in Centralized Substation Automation Systems Based on off-the-Shelf Devices. 4th European conference on HV & MV substation equipment, Lyon, 23–24 Nov 2011Google Scholar
  10. 10.
    Cisco Systems, PMU Networking with IP Multicast—White paper, http://www.cisco.com/en/US/prod/collateral/routers/ps10967/ps10977/whitepaper_c11-697665.html. Download, 1st Oct 2012
  11. 11.
    O.J. Vahamaki, A.J. Allen, J.T. Gaff, in High Speed Peer-to-Peer Communication System for Integrated Protection and Control in Distribution Networks. Developments in power system protection, sixth international conference on (Conf. Publ. No. 434), pp. 243–246, 25–27 Mar 1997Google Scholar
  12. 12.
    V. Kalogeraki, D. Gunopulos, D. Zeinalipour-Yazti, in A Local Search Mechanism for Peer-to-Peer Networks. Proceedings of the eleventh international conference on information and knowledge management, McLean, Virginia, USA (2002)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Kay Görner
    • 1
  • Ettore Bompard
    • 2
  • Tao Huang
    • 2
  • Michael Kleemann
    • 1
  1. 1.TU Dortmund UniversityDortmundGermany
  2. 2.Politecnico di TorinoTorinoItaly

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