Using GA and Computation Parallelism for the Optimal Pilot Bus Selection

  • Michal Kopček
  • Dušan Mudrončík
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 122)


The power system is generally characterized in particular by its size, complexity and time varying, beforehand unknown electrical load. Because large electric power is transferred, even slight changes in the settings can produce significant economic savings. Based on the characteristics of the power system and the nature of the secondary voltage control, it is clear that the optimal pilot bus selection plays a key role in the quality of control and related economic impacts. This paper deals with the system for optimal pilot bus selection of supervisory node voltage control in a large – scale power system, so that the key problem could be solved using the principle of parallelism and grid computing structure to make the computer time consumption as low as possible.


Optimal pilot bus selection parallelism power system 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Cantú-Paz, E.: A Survey of parallel genetic algorithm,
  2. 2.
    Foster, I., Kesselman, C.: The Grid: Blueprint for a New Computing Infrastructure II. Morgan Kaufmann (2004)Google Scholar
  3. 3.
    Kopček, M.: Optimalizácia procesov elektrizačnej sústavy na primárnej a sekundárnej úrovni riadenia. Dissertation thesis, 116 p. KAIA MtF STU, Trnava (2011); Supervisor: Dušan MudrončíkGoogle Scholar
  4. 4.
    Kopček, M., Mudrončík, D.: Optimal pilot bus selection using GA and computation parallelism. In: Process Control: 9th International Conference. Kouty nad Desnou, 7.-10. 6, University of Pardubice, Pardubice (2010), ISBN 978-80-7399-951-3. - C060b-1-4Google Scholar
  5. 5.
    Kuník, S.: Optimálny výber pilotných uzlov v sekundárnej regulácii zložitej ES. Dissertation thesis, 116 p, KAIA MtF STU, Trnava (2008); Supervisor: Dušan Mudrončík Google Scholar
  6. 6.
    Rakovský, M.: Redukcia výberu pilotných uzlov v sekundárnej regulácii. Dissertation thesis, 101 p, KAIA MtF STU, Trnava, (2006); Supervisor: Dušan MudrončíkGoogle Scholar
  7. 7.
    Sekaj, I.: Evolučné výpočty – a ich využitie v praxi. IRIS, Bratislava (2005), ISBN 80-89018-87-4Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Michal Kopček
    • 1
  • Dušan Mudrončík
    • 1
  1. 1.Faculty of Materials Science and Technology in Trnava, Institute of Information Technology, Automation and MathematicsSlovak University of TechnologyTrnavaSlovakia

Personalised recommendations