Mitigation of Harmonic Distortion in Microgrid System Using Adaptive Neural Learning Algorithm Based Shunt Active Power Filter

This paper presents the enhancement of power quality for a microgrid system at distribution level using Shunt active power filter. The main objective of this paper is to identify a suitable controller technique for obtaining a better compensation capability of shunt active power filter. The compensa...

Full description

Saved in:
Bibliographic Details
Published in:Procedia technology 2015, Vol.21, p.147-154
Main Authors: Senthilkumar A., Poongothai K., Selvakumar S., Silambarasan M., Raj, P. Ajay-D-Vimal
Format: Article
Language:English
Subjects:
microgrid
Neural Learning Algorithm (NLA)
power quality (PQ)
shunt active power filter
Total harmonic distortion (THD)
unit vector template generation technique (UVTG)
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper presents the enhancement of power quality for a microgrid system at distribution level using Shunt active power filter. The main objective of this paper is to identify a suitable controller technique for obtaining a better compensation capability of shunt active power filter. The compensation capability of the device is mainly depends on the regulation of DC link capacitor voltage. Conventionally this voltage regulation is achieved by the closed loop operation of PI controller. To raise the performance of shunt active power filter, neural learning algorithm technique has been proposed here. The comparison of different pulse generation technique and the performance of proposed techniques have been verified in the platform of MATLAB/SIMULINK model.
ISSN:2212-0173
2212-0173
DOI:10.1016/j.protcy.2015.10.082