HYBRID ACTIVE FILTER WITH VARIABLE CONDUCTANCE FOR HARMONIC RESONANCE SUPPRESSION USING ANN
M.Shyamala, P.Dileep Kumar
Harmonic resonance, hybrid active filter, industrial power system., an artificial neural networks (ANN) controller.
In this work the designing of hybrid active filter for suppression of harmonic resonance with variable conductance in industrial power systems was explained by using an artificial neural networks (ANN) controller. Harmonic voltage amplification, due to unintentional series or parallel resonance of power factor correction capacitors, is a significant issue in the industrial power system. Here we are using an artificial neural networks (ANN) controller instead of using other controllers. This work proposes a hybrid active filter to suppress the harmonic resonance in industrial facilities. The hybrid active filter is composed of a seventh-tuned passive filter and an active filter in series connection, both dc voltage and kVA rating of the active filter are dramatically decreased compared with the pure shunt active filter operates as variable harmonic conductance with dynamically tuning characteristic according to the voltage total harmonic distortion, so the damping performance of the active filter can be adjusted in response to load change and power system variation. Therefore, the harmonic resonance would be avoided as well as harmonic voltage distortion can be maintained at an allowable level. Compared with the pure shunt active filter, the dc bus voltage of the proposed hybrid filter is dramatically reduced since the grid voltage is supported by the series capacitor. This feature provides a vital advantage of the active filter, in terms of both the kVA rating and the switching ripples. Operation principles are explained in detail, and computer simulations validate the effectiveness of the proposed approach. The simulation was done by using MATLAB/Simulink software.