Improvement of Power Quality using Shunt Active Power Filter by Neural Learning Algorithm Technique
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 2
Abstract
This paper presents a better analysis of Shunt active power filter for enhancing the power quality. The shunt active power filter has been designed to mitigate total harmonics distortions, instantaneous power factor and compensate the reactive power consumed by the load. The performance of shunt active power filter mainly depends upon the control technique and pulse generation technique. In this paper Unit Vector Template Generation control technique has been used to obtain the good performance of active filter. There are two different types of pulse generation technique such as Hysteresis Current Control and Neural Learning Algorithm has been studied and analysed. The performance of the proposed system is designed and tested under MATLAB/Simulink model.
Authors and Affiliations
K. Poongothai, A. Senthil Kumar, Dr . P. Ajay-D-Vimal Raj
Keywords
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- EP ID EP19642
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