Modelagem e simulação de unidade eólica para estudos de indicadores de qualidade da energia elétrica

Detalhes bibliográficos
Ano de defesa: 2010
Autor(a) principal: Bonelli, Arthur Fernando
Orientador(a): Não Informado pela instituição
Banca de defesa: Não Informado pela instituição
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Federal de Uberlândia
BR
Programa de Pós-graduação em Engenharia Elétrica
Engenharias
UFU
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
Link de acesso: https://repositorio.ufu.br/handle/123456789/14434
Resumo: Nowadays, it is worldwide recognized that the need for electric energy is increasing and, at the same time, the impacts of energy sources on the environmental issues became a matter of great importance. This scenario has motivated nations, including Brazil, to seek alternative ways to fulfill the future requirements as far as energy supply and environment restrictions are concerned. With this in mind the use of clean and renewable energy sources has attracted the attention of researchers, industries and power supply authorities. Within this context the wind energy emerges as a significant part of the electric energy matrix. Nevertheless the advantages of such generation, it is well known that such systems show a dynamic characteristic behavior and specific power quality effects due to the inherent wind properties and the overall conversion devices. Therefore, the effects of the wind farms on the point of common coupling with the local power supply authority are to be further investigated before the connection is made. Focusing this subject, the present dissertation is directed to describe and model commercial arrangements using the so called synchronous generation. Then, the developed models are implemented in the ATP simulator and a variety of studies are carried out with different conditions for the wind. Computational results are presented and discussed to highlight the program and its potentiality towards the investigation of the relationship between the focused renewable energy source and the voltage power quality indicators.