Back to Search Start Over

Power Quality Enhancement and Power Flow Analysis of a PV Integrated UPQC System in a Distribution Network.

Authors :
Ray, Pragnyashree
Ray, Pravat Kumar
Dash, Santanu Kumar
Source :
IEEE Transactions on Industry Applications. Jan/Feb2022, Vol. 58 Issue 1, p201-211. 11p.
Publication Year :
2022

Abstract

Increasing awareness for green energy and sustainable energy management has accelerated the popularity for the incorporation of distributed energy resources and distributed energy storage into the distribution network and microgrid. This has proliferated the use of power electronic-based devices giving rise to a serious issue of deteriorating power quality (PQ) in the distribution system. In this context, this article presents a photovoltaic (PV) integrated unified power quality conditioner (UPQC) operating with an adaptive compensating technique based on variable leaky least mean square (VLLMS) algorithm. It is a soft computing-oriented method that offers quicker convergence to the desired condition in an iterative approach keeping the weight of the updating parameters within the specified limit. The VLLMS-based algorithm eliminates the use of low pass or moving average filter for the extraction of fundamental components from polluted source voltage and load current to generate reference signal for the switching of shunt as well as series voltage source converters (VSC) of the UPQC. Due to the involvement of feed-forward component of PV in the compensating technique of shunt VSC, it efficiently and smoothly manages power balance between grid, load, and PV besides resolving the PQ issues of current harmonics and poor power factor at PCC. It also ensures the regulation of dc-link voltage. The series converter maintains pure sinusoidal voltage at the load terminal irrespective of sag/swell and harmonics present in the grid voltage. The effectiveness of the proposed system is verified through simulation as well as hardware implementation under different static and dynamic operating conditions. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00939994
Volume :
58
Issue :
1
Database :
Academic Search Index
Journal :
IEEE Transactions on Industry Applications
Publication Type :
Academic Journal
Accession number :
154862460
Full Text :
https://doi.org/10.1109/TIA.2021.3131404