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The use of genetic algorithms in validating the system model and determining worst-case transients in capacitor switching simulation studies

Producción científica: Conference contributionrevisión exhaustiva

3 Citas (Scopus)

Resumen

This paper presents two applications of the genetic algorithm (GA) for capacitor switching simulation studies, namely validation of the system model and determination of the worst case transients. For validating the system model, using both recorded and simulated data seems to be an efficient way. By modifying the system parameters, replaying the captured event, obtaining simulated waveforms, and comparing the simulated and recorded waveforms, the accuracy of the system model may be scrutinized and enhanced. For determining the worst case transients due to the capacitor switching, we are interested in the high frequency content, voltage peak value and transient duration. This paper proposes genetic algorithm based approaches for addressing both of the issues. Analysis results using data contributed by the sponsoring utilities are reported.

Idioma originalEnglish
Título de la publicación alojadaICHQP 2000 - 9th International Conference on Harmonics and Quality of Power, Proceedings
EditoresAlexander Domijan
Páginas685-690
Número de páginas6
ISBN (versión digital)0780364996
DOI
EstadoPublished - 2000
Evento9th International Conference on Harmonics and Quality of Power, ICHQP 2000 - Orlando, United States
Duración: oct 1 2000oct 4 2000

Serie de la publicación

NombreProceedings of International Conference on Harmonics and Quality of Power, ICHQP
Volumen2
ISSN (versión impresa)1540-6008
ISSN (versión digital)2164-0610

Conference

Conference9th International Conference on Harmonics and Quality of Power, ICHQP 2000
País/TerritorioUnited States
CiudadOrlando
Período10/1/0010/4/00

Nota bibliográfica

Publisher Copyright:
© 2000 IEEE.

Financiación

Financiadores
Texas Higher Education Coordinating Board Advanced Technology Program

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Signal Processing
    • Energy Engineering and Power Technology
    • Fuel Technology
    • Electrical and Electronic Engineering

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