High Impact Factor : 4.396 icon | Submit Manuscript Online icon |

Simulation of Integrated Dynamic Voltage Restorer-Supercapacitor Analysis, for Power Quality Enhancement Using Feedfoword Neural Network Control System

Author(s):

Kalyani Sahu , disha institute of management & technology raipur c.g.; Devendra Sahu, disha institute of management & technology raipur c.g.

Keywords:

DC-DC converter, neural control, dynamic voltage restorer (DVR), Supercapacitor, Voltage sag/swell

Abstract

Now a days, the energy storage technologies usable and maintenance maintenance charge is decreasing quickly. The integration of this technology into the distribution power generation power quality is being enhanced since these devices gives quick response and high constance. Dynamic voltage restoration is a process and instrument necessity to maintain, or restore and also compensate functional electric load during voltage sag and swell, harmonics in voltage supply. DVR is the most reliable custom power device that can protect sensitive load and it can be entirely resolve the power quality problem in distribution power generation. Super capacitor is a specially designate capacitor which have low-energy density and high- power density, quick charge/discharge rates that area unit all ideal characteristic for meeting high voltage low energy events like grid intermittencies sag/swells. It combined the properties of capacitors and batteries into one device. SCAPs are electronic devices which are able of holding excessive amount of electrical intrust quantity. It is also called as Ultra Capacitor (UCAP). This paper describe the integration of SCAP-DVR system is used to compensate the temporary voltage sags and swells, which last form 3s to 1min. the design and control methods of both inverter and converter have been maintain and substantiate MATLAB simulation model. Also in this model, neural network control system and PWM pulse generation is used.

Other Details

Paper ID: IJSRDV4I40905
Published in: Volume : 4, Issue : 4
Publication Date: 01/07/2016
Page(s): 1207-1212

Article Preview

Download Article