Advanced search
Start date
Betweenand
Related content
(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Parameter estimation of DC black-Box arc models using genetic algorithms

Full text
Author(s):
Pessoa, Felipe P. [1] ; Acosta, Jhair S. [1] ; Tavares, Maria C. [1]
Total Authors: 3
Affiliation:
[1] Univ Estadual Campinas, Sch Elect & Comp Engn, Campinas, SP - Brazil
Total Affiliations: 1
Document type: Journal article
Source: Electric Power Systems Research; v. 198, SEP 2021.
Web of Science Citations: 0
Abstract

This paper presents a method for estimating the black-box arc parameters using genetic algorithm. The proposed method is applied to represent a DC short-circuit in a railway system protected by a High-Speed Circuit Breaker (HSCB). The simulated cases were compared with experimental data, and the results show very good agreement between model predictions and experiments. This method could potentially be used by HSCB's manufacturers to extract and provide arc model parameters to end users based on their test results. (AU)

FAPESP's process: 15/26096-0 - Increase of the multi-circuit transmission lines capacity by modifying the bundles geometry
Grantee:Jhair Stivel Acosta Sarmiento
Support Opportunities: Scholarships in Brazil - Doctorate
FAPESP's process: 17/20010-1 - CONTRIBUTIONS TO VERY LONG TRANSMISSION SYSTEM AND POWER SYSTEM PROTECTION
Grantee:Maria Cristina Dias Tavares
Support Opportunities: Regular Research Grants