dc.contributor | Canha, Luciane Neves | |
dc.contributor | http://lattes.cnpq.br/6991878627141193 | |
dc.contributor | Marchesan, Tiago Bandeira | |
dc.contributor | http://lattes.cnpq.br/2318413245910780 | |
dc.contributor | Popov, Vladimir Andreevitch | |
dc.contributor | http://lattes.cnpq.br/2217596440987442 | |
dc.creator | Schmitz, William Ismael | |
dc.date.accessioned | 2018-10-25T22:13:00Z | |
dc.date.accessioned | 2019-05-24T19:51:16Z | |
dc.date.available | 2018-10-25T22:13:00Z | |
dc.date.available | 2019-05-24T19:51:16Z | |
dc.date.created | 2018-10-25T22:13:00Z | |
dc.date.issued | 2018-02-19 | |
dc.identifier | http://repositorio.ufsm.br/handle/1/14686 | |
dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/2837103 | |
dc.description.abstract | This thesis presents a new methodology for the classification and substitution of power
transformers in substations. The thesis proposes the use of the Operational Vulnerability
Indicator (OVI), which consists of two groups of criteria, Technical Condition (TC) and Operational
Condition (OC). This indicator allows identifying which power transformers from a
set of substations have priority for substitution, considering technical-operational information
available in the substations. The Technical Condition (TC) is composed by the parallelism
index, reserve transformer availability and nominal power. Through criteria such as the
parallelism index developed for this work, it is possible to identify the percentage of the load
that is assured by a transformer in parallel at the moment of a contingency. The operational
condition (OC) addresses the physical situation of the power transformer, typically found in
the literature as health index. It assesses factors such as deterioration of the cellulose paper
that makes up the insulation and oil, age of the equipment and loading factor, resulting
in a life expectancy for the power transformer. The operational vulnerability indicator can be
used as an important guide for the strategic planning of the resource application of electric
power companies. The methodology is verified through a case study involving real data
from 7 substations and 39 power transformers, belonging to a Brazilian electricity company.
In the validation of the method, the effectiveness of the proposed method is compared with
the ranking obtained through the traditional health index. | |
dc.publisher | Universidade Federal de Santa Maria | |
dc.publisher | Brasil | |
dc.publisher | Engenharia Elétrica | |
dc.publisher | UFSM | |
dc.publisher | Programa de Pós-Graduação em Engenharia Elétrica | |
dc.publisher | Centro de Tecnologia | |
dc.rights | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | |
dc.subject | Subestações | |
dc.subject | Substituição de transformadores de potência | |
dc.subject | Índice de paralelismo | |
dc.subject | Índice de saúde | |
dc.subject | PROMETHEE | |
dc.subject | Substations | |
dc.subject | Power transformers substitution | |
dc.subject | Parallelism index | |
dc.subject | Health index | |
dc.subject | PROMETHEE | |
dc.title | Indicador de vulnerabilidade operacional para priorização e substituição de transformadores de potência em subestações | |
dc.type | Tesis | |