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

abstract

• 2000 IEEE. 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.

name of conference

• Ninth International Conference on Harmonics and Quality of Power. Proceedings (Cat. No.00EX441)

authors

• Kezunovic, Mladen

published proceedings

• NINTH INTERNATIONAL CONFERENCE ON HARMONICS AND QUALITY OF POWER PROCEEDINGS, VOLS I - III

author list (cited authors)

• Kezunovic, M., & Liao, Y.

citation count

• 3

complete list of authors

• Kezunovic, M||Liao, Y

publication date

• January 2000

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• Proceedings of International Conference on Harmonics and Quality of Power, ICHQP  Journal

keywords

• Capacitor Switching
• Genetic Algorithms
• Power Quality
• Simulation
• Switching Transients
• System Model Verification

Digital Object Identifier (DOI)

• 10.1109/ichqp.2000.897761

International Standard Book Number (ISBN) 10

• 0-7803-6499-6

start page

• 685

end page

• 690

volume

• 2

URL

• http%3A%2F%2Fdx.doi.org%2F10.1109%2Fichqp.2000.897761