Determining the placement of BTB converters for fault current reduction in a power system by using a hybrid GA-Tabu search method

Remund Labios; Hwachang Song

doi:10.1109/SCIS-ISIS.2014.7044870

Determining the placement of BTB converters for fault current reduction in a power system by using a hybrid GA-Tabu search method

Remund Labios, Hwachang Song

Dept. of Electrical and Information Engineering

Seoul National University of Science and Technology (SNUST)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

This paper presents a method to determine the optimal locations for installing back-to-back (BTB) converters in a power grid as a remedial action to reduce fault current levels. A hybrid GA-Tabu search method was used to determine the best locations from a pre-selected list of candidate locations. Additional constraints used to determine the best locations include bus fault levels, feasibility of N-1 contingencies, and proximity of proposed locations. Simulations of the search method were performed on the Korean power network, with candidate locations selected from within the Seoul metropolitan area.

Original language	English
Title of host publication	2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	5-8
Number of pages	4
ISBN (Electronic)	9781479959556
DOIs	https://doi.org/10.1109/SCIS-ISIS.2014.7044870
State	Published - 18 Feb 2014
Event	2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014 - Kitakyushu, Japan Duration: 3 Dec 2014 → 6 Dec 2014

Publication series

Name	2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014

Conference

Conference	2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014
Country/Territory	Japan
City	Kitakyushu
Period	3/12/14 → 6/12/14

Keywords

Back-to-back converter
Fault current reduction
Genetic algorithm
Power systems
Tabu search

Access to Document

10.1109/SCIS-ISIS.2014.7044870

Cite this

Labios, R., & Song, H. (2014). Determining the placement of BTB converters for fault current reduction in a power system by using a hybrid GA-Tabu search method. In 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014 (pp. 5-8). Article 7044870 (2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SCIS-ISIS.2014.7044870

Labios, Remund ; Song, Hwachang. / Determining the placement of BTB converters for fault current reduction in a power system by using a hybrid GA-Tabu search method. 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 5-8 (2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014).

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title = "Determining the placement of BTB converters for fault current reduction in a power system by using a hybrid GA-Tabu search method",

abstract = "This paper presents a method to determine the optimal locations for installing back-to-back (BTB) converters in a power grid as a remedial action to reduce fault current levels. A hybrid GA-Tabu search method was used to determine the best locations from a pre-selected list of candidate locations. Additional constraints used to determine the best locations include bus fault levels, feasibility of N-1 contingencies, and proximity of proposed locations. Simulations of the search method were performed on the Korean power network, with candidate locations selected from within the Seoul metropolitan area.",

keywords = "Back-to-back converter, Fault current reduction, Genetic algorithm, Power systems, Tabu search",

author = "Remund Labios and Hwachang Song",

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Labios, R & Song, H 2014, Determining the placement of BTB converters for fault current reduction in a power system by using a hybrid GA-Tabu search method. in 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014., 7044870, 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014, Institute of Electrical and Electronics Engineers Inc., pp. 5-8, 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014, Kitakyushu, Japan, 3/12/14. https://doi.org/10.1109/SCIS-ISIS.2014.7044870

Determining the placement of BTB converters for fault current reduction in a power system by using a hybrid GA-Tabu search method. / Labios, Remund; Song, Hwachang.
2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 5-8 7044870 (2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - This paper presents a method to determine the optimal locations for installing back-to-back (BTB) converters in a power grid as a remedial action to reduce fault current levels. A hybrid GA-Tabu search method was used to determine the best locations from a pre-selected list of candidate locations. Additional constraints used to determine the best locations include bus fault levels, feasibility of N-1 contingencies, and proximity of proposed locations. Simulations of the search method were performed on the Korean power network, with candidate locations selected from within the Seoul metropolitan area.

AB - This paper presents a method to determine the optimal locations for installing back-to-back (BTB) converters in a power grid as a remedial action to reduce fault current levels. A hybrid GA-Tabu search method was used to determine the best locations from a pre-selected list of candidate locations. Additional constraints used to determine the best locations include bus fault levels, feasibility of N-1 contingencies, and proximity of proposed locations. Simulations of the search method were performed on the Korean power network, with candidate locations selected from within the Seoul metropolitan area.

KW - Back-to-back converter

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KW - Power systems

KW - Tabu search

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BT - 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014

PB - Institute of Electrical and Electronics Engineers Inc.

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Labios R, Song H. Determining the placement of BTB converters for fault current reduction in a power system by using a hybrid GA-Tabu search method. In 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 5-8. 7044870. (2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014). doi: 10.1109/SCIS-ISIS.2014.7044870

Determining the placement of BTB converters for fault current reduction in a power system by using a hybrid GA-Tabu search method

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