Desenvolvimento de software para alocação ótima de cargas em redes de distribuição de energia elétrica com geração distribuída

• Ano de defesa: 2017
• Autor(a) principal: Medeiros, Diego Deyvid Dantas de
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Brasil; UFRN; MESTRADO PROFISSIONAL EM ENERGIA ELÉTRICA
• Palavras-chave em Português: Otimização; Geração distribuída; Algoritmo genético; Fluxo de carga soma de potências; Distribuição de energia elétrica; Fontes de energia alternativa; CNPQ::ENGENHARIAS: ENERGIA ELÉTRICA
• Link de acesso: https://repositorio.ufrn.br/jspui/handle/123456789/22485

Currently, with the increasing of incentive to use alternative and renewable energy sources, the number of generators connected to the electricity distribution networks has increased. Among them are, for example, wind farms, photovoltaic solar energy systems and cogeneration systems forming the so-called Distributed Generation. In view of this global panorama, it is imminent the need to develop new technologies and computer programs that allow the optimization of the connections of generators in the electrical system. This should be done in such a way that, among other advantages, control strategies are improved and efficiency increased. This work presents the creation of Optimal-GeDist software, developed to assist in the planning of electricity distribution networks in medium voltage. This computational tool calculates optimum power injection of the distributed generation in the network bars, in addition to determining the best connection points of future loads that wish to connect to the system. Because it is a problem, in which search space is large and with the possibility of local minimums, it was decided to use the Genetic Algorithm as an optimization tool, more suitable for this type of problem. Through its application, it is possible to find the optimal point of operation of the network in order to optimize the technical losses of the system. For the simulation of the system, it’s opted for the Power Sum load flow method, developed for medium voltage radial systems and presenting a fast and accurate convergence.