PRODUÇÃO ACADÊMICA Repositório Acadêmico da Graduação (RAG) TCC Ciência da Computação
Use este identificador para citar ou linkar para este item: https://repositorio.pucgoias.edu.br/jspui/handle/123456789/1532
Tipo: Trabalho de Conclusão de Curso
Título: Optimal operation of the Jirau hydroelectric power plant reservoir using nonlinear optimization
Autor(es): Brandão Filho, Rone Cesar
Primeiro Orientador: Coelho, Clarimar José
metadata.dc.contributor.advisor-co1: Galvão Filho, Arlindo Rodrigues
metadata.dc.contributor.referee3: Carvalho, Rafael Viana de
Resumo: Hydroelectric production is normally scheduled with respect to the demand in the power network at any time. At the hydroelectric power plant, regulating the volume of the reservoir is an important strategy to optimize the energy production. In this context, this paper proposes a control strategy for the optimal operation of the reservoir of Jirau hydroelectric power plant. This strategy is obtained using nonlinear optimization in order to maximize the production of electricity according to daily reservoir variation. To validate the model it was used historical data of the plant's flow. Results show that the model concentrated resources in the region with the highest energy demand, increasing reservoir use. On the other hand, it has preserved resources in regions of lower demand, increasing reservoir volume.
Abstract: Hydroelectric production is normally scheduled with respect to the demand in the power network at any time. At the hydroelectric power plant, regulating the volume of the reservoir is an important strategy to optimize the energy production. In this context, this paper proposes a control strategy for the optimal operation of the reservoir of Jirau hydroelectric power plant. This strategy is obtained using nonlinear optimization in order to maximize the production of electricity according to daily reservoir variation. To validate the model it was used historical data of the plant's flow. Results show that the model concentrated resources in the region with the highest energy demand, increasing reservoir use. On the other hand, it has preserved resources in regions of lower demand, increasing reservoir volume.
Palavras-chave: Nonlinear optimization
Reservoir volume policies
Hydroelectric power plant
CNPq: CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACA
Idioma: por
País: Brasil
Editor: Pontifícia Universidade Católica de Goiás
Sigla da Instituição: PUC Goiás
metadata.dc.publisher.department: Escola de Ciências Exatas e da Computação
Tipo de Acesso: Acesso Aberto
URI: https://repositorio.pucgoias.edu.br/jspui/handle/123456789/1532
Data do documento: 4-Jun-2021
Aparece nas coleções:TCC Ciência da Computação

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