Alocação ótima simultânea de geradores fotovoltaicos e de sistemas de armazenamento de energia em sistemas de distribuição de energia elétrica

• Ano de defesa: 2018
• Autor(a) principal: SANTOS, Igor Soares dos
• Orientador(a): Osvaldo Ronald Saavedra Mendez
• Banca de defesa: MENDEZ, Osvaldo Ronald Saavedra , OLIVEIRA, Denisson Queiroz , SANTOS, Bartolomeu Ferreira dos , CASAS, Vicente Leonardo Paucar
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal do Maranhão
• Programa de Pós-Graduação: PROGRAMA DE PÓS-GRADUAÇÃO EM ENGENHARIA DE ELETRICIDADE/CCET
• Departamento: DEPARTAMENTO DE ENGENHARIA DA ELETRICIDADE/CCET
• País: Brasil
• Palavras-chave em Português: Estratégias evolutivas; Geração distribuída; Geradores fotovoltaicos; Sistemas de armazenamento de energia; Sistemas elétricos de potência; Distributed generation; Photovoltaic generators; Energy storage systems; Electric power systems
• Palavras-chave em Inglês: Evolution strategy
• Área do conhecimento CNPq: Sistemas Elétricos de Potência
• Link de acesso: https://tedebc.ufma.br/jspui/handle/tede/2146

In this work, the problem of the allocation of photovoltaic generators and energy storage systems simultaneously in an electric power distribution system is formulated and solved, observing the minimization of active losses in the network, while operational network restrictions are satisfied. To properly consider the imbalance characteristic of distribution networks, a three-phase approach to the feeder and its components is considered using OpenDSS software. The solution of the problem is done using the stochastic search algorithm Evolution Strategy to optimize the proposed objective function. For this purpose, the Evolution Strategy technique with adaptation of covariance matrix of the population was implemented, which aims to improve the probability that good individuals will happen again throughout the evolutionary process. To illustrate the methodology, the IEEE-13 test distribution system was used in three different test cases. The results obtained adequately illustrate the proposed formulation and its practical utility. The solution solved through the evolutionary algorithm presents good results in the reduction of technical losses of the system, while simultaneously allocating photovoltaic generators and storage systems in the electric distribution system.