Macro e micro modelo de planejamento para microrredes participantes de mercado local de energia

Detalhes bibliográficos
Ano de defesa: 2022
Autor(a) principal: Tonhá, Henrique Mesquita lattes
Orientador(a): Alvarenga, Bernardo Pinheiro de lattes
Banca de defesa: Alvarenga, Bernardo Pinheiro de, Kopcak, Igor, Silva, Luis Gustavo Wesz da, Marques, Thyago Carvalho, Silva, Luiz Carlos Pereira da
Tipo de documento: Tese
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Federal de Goiás
Programa de Pós-Graduação: Programa de Pós-graduação em Engenharia Elétrica e da Computação (EMC)
Departamento: Escola de Engenharia Elétrica, Mecânica e de Computação - EMC (RG)
País: Brasil
Palavras-chave em Português:
Palavras-chave em Inglês:
Área do conhecimento CNPq:
Link de acesso: http://repositorio.bc.ufg.br/tede/handle/tede/12029
Resumo: Microgrids (MRs) have intelligence and flexibility that provide the integration of renewable sources into their configuration. The complementary technical aspect between the different renewable sources and the storage schemes associated with a flexibility of energy contracts allows the existence of a local market involving MRs. This work aims to study two models of competition of MRs: macro and micro. The macro model deals with market competition between local MRs and the micro model, the competition between different generation sources. The virtual association of remotely installed MRs applied to a competition platform seeks to confer justice for these agentes in a macro market model competing with more centralized MRs in the network. By remunerating everyone involved, the model aims to reduce resistance and encourage the entry of new agents, especially those that enable the greatest gains in the quality of energy supply to the grid. From a constraint set and Karush-Kuhn-Tucker (KKT) conditions, it is possible to process the Nash equilibrium (EN) and Pareto efficiency (EP) points. A unique normalized EN can be obtained when the game is played in a convex environment with diagonally strictly concave or convex functions as the case in question. About the micro