Optimization Technique for Power Quality Improvement using DSTATCOM (Neural Network Approach) – A Review

Manju Gupta; Dr. Anuprita Mishra; Hareram Mishra

Title:
Optimization Technique for Power Quality Improvement using DSTATCOM (Neural Network Approach) – A Review

Authors:
Hareram Mishra | Manju Gupta | Dr. Anuprita Mishra

Cite This Article :

Hareram Mishra | Manju Gupta | Dr. Anuprita Mishra "Optimization Technique for Power Quality Improvement using DSTATCOM (Neural Network Approach) – A Review" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-5, August 2021, pp.1828-1832, URL: https://www.ijtsrd.com/papers/ijtsrd45219.pdf

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Abstract :
As the power demand has been increasing rapidly, power generation and transmission are being affected due to limited resources, environmental restrictions and other losses. soft computing the techniques of correcting the supply voltage sag, swell and interruption in a distributed system. At present, a wide range of very flexible controllers, which capitalize on newly available power electronics components, are emerging for custom power applications. Power electronic-based equipment aimed at enhancing the reliability and quality of power flows in low voltage distribution networks. A control algorithm is used for the extraction of the fundamental weighted value of active and reactive power components. Using digital signal processor the DSTATCOM is developed and its performance of DSTATCOM is found to be satisfactory for various types of loads.

Keywords :
D-Statcom, DVR, Voltage Dips, Swells, Power Quality

Publication Details:

Unique Identification Number : IJTSRD45219

Published In : Volume-5 | Issue-5, August 2021

Page Number(s) : 1828-1832

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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