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Using GA and Computation Parallelism for the Optimal Pilot Bus Selection

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 122))

Abstract

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.

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References

  1. Cantú-Paz, E.: A Survey of parallel genetic algorithm, http://neo.lcc.uma.es/cEA-web/documents/cant98.pdf

  2. Foster, I., Kesselman, C.: The Grid: Blueprint for a New Computing Infrastructure II. Morgan Kaufmann (2004)

    Google Scholar 

  3. Kopček, M.: Optimalizácia procesov elektrizačnej sústavy na primárnej a sekundárnej úrovni riadenia. Dissertation thesis, 116 p. KAIA MtF STU, Trnava (2011); Supervisor: Dušan Mudrončík

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  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-1-4

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  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. Rakovský, M.: Redukcia výberu pilotných uzlov v sekundárnej regulácii. Dissertation thesis, 101 p, KAIA MtF STU, Trnava, (2006); Supervisor: Dušan Mudrončík

    Google Scholar 

  7. Sekaj, I.: Evolučné výpočty – a ich využitie v praxi. IRIS, Bratislava (2005), ISBN 80-89018-87-4

    Google Scholar 

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© 2011 Springer-Verlag Berlin Heidelberg

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Kopček, M., Mudrončík, D. (2011). Using GA and Computation Parallelism for the Optimal Pilot Bus Selection. In: Lee, G. (eds) Advances in Automation and Robotics, Vol.1. Lecture Notes in Electrical Engineering, vol 122. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25553-3_40

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  • DOI: https://doi.org/10.1007/978-3-642-25553-3_40

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25552-6

  • Online ISBN: 978-3-642-25553-3

  • eBook Packages: EngineeringEngineering (R0)

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