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Ass. Lect. Hesham Said Abd Elmonsif Ali :: Publications:

Title:
ESTIMATION OF CAPACITOR BANK SWITCHING OVERVOLTAGES USING ARTIFICIAL NEURAL NETWORK
Authors: Sayed A. Ward;Mahmoud N. Ali;Hesham S. Ali
Year: 2017
Keywords: Capacitor bank energization, switching overvoltages, power factor correction, artificial neural network.
Journal: journal of electrical engineering
Volume: 5/2015
Issue: 2
Pages: 172
Publisher: Hesham Said Abd Elmonsif Ali
Local/International: International
Paper Link:
Full paper Hesham Said Abd Elmonsif Ali_ESTIMATION OF CAPACITOR BANK SWITCHING OVERVOLTAGES USING ARTIFICIAL NEURAL NETWORK.pdf
Supplementary materials Not Available
Abstract:

According to power quality concerns, the insertion of capacitor banks into the electrical power system is interested in the case of power factor compensation and voltage support. Due to capacitor bank switching process, a transient overvoltage appears on the system and represents hazard on equipment insulations. In this paper the capacitor bank switching overvoltage dependent parameters are studied and the artificial neural network (ANN) is used to estimate this overvoltage. ANN is trained according to the factors that affect the overvoltage. ANN training data is provided by MATLAB/Simulink environment. The simulated results show that the proposed technique can estimate the peak values and durations of capacitor bank switching overvoltages with good accuracy.

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