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Power Quality Improvement using Artificial Intelligence (AI) based Dynamic Voltage Restorer (DVR)

Author(s):

Amankumar Sadhu , AHMEDABAD INSTITUTE OF TECHNOLOGY ; Sadhu Aman, AHMEDABAD INSTITUTE OF TECHNOLOGY; Mayalakshmi Pillai, AHMEDABAD INSTITUTE OF TECHNOLOGY; Merolina Christie, AHMEDABAD INSTITUTE OF TECHNOLOGY

Keywords:

Artificial Intelligence (AI), Dynamic Voltage Restorer (DVR)

Abstract

Electrical power supply is one of the most important issues to utilities, equipment manufactures and customers. Power quality problem is an event of abnormal voltage, current or frequency. Utility distribution networks experience from various types of disturbances. Now the fast development in power electronics technology have made it possible to mitigate power quality problems. Such as, dynamic voltage restorer can provide the most mercantile solution to compensate voltage sag/swell by injecting voltage in to the sensitive system. The proposed system has less number of switching devices and has good compensating capability in comparison with commonly used compensators. Dynamic voltage restorer is a series connected power electronics based device that can mitigate the power quality issues in the system, by automatically detecting and injecting the voltage components through an injecting transformer. Here comes the importance of soft computing techniques like fuzzy logic. With the help of a newly developed fuzzy rule base, the system will be able to correct repeated occurrences of the power quality problems. The modelling and simulation is done using MATLAB/SIMULINK software.

Other Details

Paper ID: IJSRDV5I120182
Published in: Volume : 5, Issue : 12
Publication Date: 01/03/2018
Page(s): 231-235

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