Contribuições para posicionamento eficiente de chaves e restauração automática de redes de distribuição de energia elétrica

• Ano de defesa: 2015
• Autor(a) principal: Bezerra, José Roberto
• Tipo de documento: Tese
• Tipo de acesso: Acesso aberto
• Idioma: por
• Palavras-chave em Português: Engenharia elétrica; Sistemas de energia elétrica; Energia elétrica - Distribuição; Otimização matemática
• Link de acesso: http://www.repositorio.ufc.br/handle/riufc/15484

The demand for electricity grows in the same way as the consumers requirement for an uninterrupted supply. Many reliability indices are applied by regulatory agencies, utilities and consumers for measuring the power systems reliability. The improvement of such indices has been required by regulatory agencies and pursued by energy distributors. Therefore, the application of automatic restauration systems has gained relevance as a support tool for control center operators for a quick and secure restauration of faulty electric networks. This work proposes two contributions to the restoration process of radial power system networks. The former is a multiobjective algorithm for effective switch placement in distribution networks. Multiobjective optimization techniques are applied to achieve a set of non-dominated solutions rather than an unique one. Therefore, the decision making for switch placement is eased by the flexibility given from the multiple solutions. The latter contribution is a model for automatic restoration of power distribution networks adaptable to the network topology changes and able to ensure the operational security of the power system network. The proposed model is based on coloured Petri nets as the modelling tool. Reusability and extensibility features have been pursued and implemented on the proposed model. As a result, the needed time to restore faulty power system networks is reduced without compromising its operational security. Case studies are presented demonstrating the benefits to the power system distribution utilities obtained with the deployment of the proposed tools to improve the reliability of the power system networks.