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A unified optimal power flow modeling for VSC-HVDC converter: a novel methodology for optimal installation based on average loadability index.

Authors :
Agrawal, Sunilkumar
Kundu, Prasanta
Source :
COMPEL. 2022, Vol. 41 Issue 1, p283-303. 21p.
Publication Year :
2022

Abstract

Purpose: This paper aims to propose a novel methodology for optimal voltage source converter (VSC) station installation in hybrid alternating current (AC)/direct current (DC) transmission networks. Design/methodology/approach: In this analysis, a unified power flow model has been developed for the optimal power flow (OPF) problem for VSC-based high voltage direct current (VSC-HVDC) transmission network and solved using a particle swarm optimization (PSO) algorithm. The impact of the HVDC converter under abnormal conditions considering N-1 line outage contingency is analyzed against the congestion relief of the overall transmission network. The average loadability index is used as a severity indicator and minimized along with overall transmission line losses by replacing each AC line with an HVDC line independently. Findings: The developed unified OPF (UOPF) model converged successfully with (PSO) algorithm. The OPF problem has satisfied the defined operational constraints of the power system, and comparative results are obtained for objective function with different HVDC test configurations represented in the paper. In addition, the impact of VSC converter location is determined on objective function value. Originality/value: A novel methodology has been developed for the optimal installation of the converter station for the point-to-point configuration of HVDC transmission. The developed unified OPF model and methodology for selecting the AC bus for converter installation has effectively reduced congestion in transmission lines under single line outage contingency. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03321649
Volume :
41
Issue :
1
Database :
Academic Search Index
Journal :
COMPEL
Publication Type :
Periodical
Accession number :
154835119
Full Text :
https://doi.org/10.1108/COMPEL-03-2021-0103