Application of Nonlinear Optimization for Fault Location in Transmission Lines with Series Compensation Protected by Varistors

Simone Aparecida Rocha, Rodrigo Tomas Nogueira Cardoso, Eduardo Gonzaga Da Silveira () and Alex-Sander Amavel Luiz
Additional contact information
Simone Aparecida Rocha: Postgraduate Program in Mathematical and Computational Modeling, Centro Federal de Educação Tecnológica de Minas Gerais, Belo Horizonte 30180-001, Brazil
Rodrigo Tomas Nogueira Cardoso: Postgraduate Program in Mathematical and Computational Modeling, Centro Federal de Educação Tecnológica de Minas Gerais, Belo Horizonte 30180-001, Brazil
Eduardo Gonzaga Da Silveira: Department of Electrical Engineering, Centro Federal de Educação Tecnológica de Minas Gerais, Belo Horizonte 30180-001, Brazil
Alex-Sander Amavel Luiz: Department of Electrical Engineering, Centro Federal de Educação Tecnológica de Minas Gerais, Belo Horizonte 30180-001, Brazil

Energies, 2023, vol. 16, issue 15, 1-20

Abstract: This paper introduces a novel approach to fault localization in transmission lines with series compensation using nonlinear optimization. The objective function minimization provides information on the fault distance and the current at which the protective varistor starts conducting. Terminal source data, the maximum current capacity of the capacitor, and the operating curve of the metal oxide varistor protection element are not required. The proposed method successfully met the predefined objectives, with a maximum error of 1.13% in simulated scenarios. In validating the method using real cases from a Brazilian energy concessionaire, the errors were below 0.5%.

Keywords: fault location; transmission line; series compensation; varistor; spark gap; nonlinear optimization; genetic algorithm (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1996-1073/16/15/5595/pdf (application/pdf)
https://www.mdpi.com/1996-1073/16/15/5595/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:16:y:2023:i:15:p:5595-:d:1202014

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().