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Optimal allocation of UPFC for congestion management using ANTLION algorithm

Kesavan Duraisamy1, S.Padma1, M.Senthil Kumar1

1 Department of Electrical and Electronics Engineering, Sona College of Technology, Salem, India

* Corresponding Author: Kesavan Duraisamy (email)

Revista Internacional de Métodos Numéricos para Cálculo y Diseño en Ingeniería 2023, 39(2), 1-5. https://doi.org/10.23967/j.rimni.2023.06.003

Abstract

To obtain an optimum power market the deregulation process is implemented for the entire electrical market and further classified as transmission and distribution units. Each firm focuses on delivering its best output which leads to congestion issues on transmission lines as there is in-adequate transmission capability to satisfy the load demand, and transmission congestion occurs. Transmission cable congestion results from a lack of coordination between the utilities that handle generating, transmission, and distribution leading to a generator failure, an abrupt increase in load demand, or the miscarriage of equipment, all of which can be fixed by FACTS devices. In this work, transmission line congestion is reduced using FACTS devices like UPFC and IPFC. The primary goal is to determine where FACTS devices should be placed. The main goal is to use the ANTLION optimization algorithm to locate the optimal position and size for FACTS devices. In an IEEE-14 bus system, UPFC and IPFC are individually connected and parameters are analyzed and formulated for better transmission among energy sectors.

Cite This Article

APA Style
Duraisamy, K., S.Padma, , Kumar, M. (2023). Optimal allocation of UPFC for congestion management using ANTLION algorithm. Revista Internacional de Métodos Numéricos para Cálculo y Diseño en Ingeniería, 39(2), 1-5. https://doi.org/10.23967/j.rimni.2023.06.003
Vancouver Style
Duraisamy K, S.Padma , Kumar M. Optimal allocation of UPFC for congestion management using ANTLION algorithm. Rev int métodos numér cálc diseño ing. 2023;39(2):1-5 https://doi.org/10.23967/j.rimni.2023.06.003
IEEE Style
K. Duraisamy, S.Padma, and M. Kumar "Optimal allocation of UPFC for congestion management using ANTLION algorithm," Rev. int. métodos numér. cálc. diseño ing., vol. 39, no. 2, pp. 1-5. 2023. https://doi.org/10.23967/j.rimni.2023.06.003



cc Copyright © 2023 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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