Alocação de torres ao longo de traçados de linhas de transmissão aéreas (LTAs)

• Ano de defesa: 2022
• Autor(a) principal: Guilherme Esteves Mendes Campos
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Minas Gerais; Brasil; ENG - DEPARTAMENTO DE ENGENHARIA ELÉTRICA; Programa de Pós-Graduação em Engenharia Elétrica; UFMG
• Palavras-chave em Português: Linhas de transmissão aéreas; Algoritmos genéticos; Alocação de torres em linhas de transmissão; Leilões de transmissão de energia; Projeto de linhas de transmissão; Engenharia elétrica; Linha de transmissão; Energia elétrica - Transmissão; Leilões
• Link de acesso: http://hdl.handle.net/1843/54869

This work presents the methodology developed and the results obtained through a computational algorithm that aims to determine the allocation of power transmission towers along previously determined overhead transmission lines. This algorithm is based on Genetic Algorithm techniques and has as inputs electrical criteria defined by regulatory agencies, mechanical characteristics that influence the choice of tower type and attributes of the topology of the line's implementation corridor, among other data. The developed algorithm was applied to fictitious and real transmission lines scenarios. The fictitious tracings were used to determine the values of the parameters that influence the execution of the genetic algorithm, while the example of a real tracing served to apply and validate the methodology in a scenario closer to that encountered by the bidders during the energy transmission auctions, promoted by the Brazilian National Electric Energy Agency (ANEEL). The results obtained with the development of the work may help the bidders in the auctions promoted by ANEEL to better estimate the initial costs of construction of the lines, by giving a preliminary and fast allocation of the towers that already considers the reduction of the implantation costs, and, thus, they will be able to better define the bid and obtain more success in the auctions.