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. |
