Distribution System Reconfiguration Considering Smart-Grid Enabling Technologies

• Autor(a) principal: Medeiros, Miguel Fontes
• Data de Publicação: 2015
• Tipo de documento: Dissertação
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10400.6/6037
• topic: Casas Inteligentes; Computação Em Rede; Otimização de Sistemas de Distribuição; Reconfiguração de Sistemas de Distribuição; Resposta da Demanda; Sistemas de Gestão de Energia; Domínio/Área Científica::Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática

The increasing environmental concerns are imposing the need to adopt actions regarding the efficient operation of the overall electrical system. Optimization techniques that pave the way to improve the current electrical system are required. The electric distribution systems (DS), which are responsible for delivering the energy to the final consumers, is one part of the electrical system that needs to be optimized, since it is responsible for a considerable amount of energy loss. The new assets available to the residential users, such as electric vehicles, energy storage systems and small self-production units, present at the same time an opportunity and a challenge for the DS. The Smart-Households (SH) will solve optimization problems to guarantee their minimum electrical bill cost, with respect to the received dynamic electricity price signal from the retailer. However, this could negatively impact the DS by creating additional undesired peaks, during low price periods. The distribution system reconfiguration (DSR) is the process of changing the network topology. This process can be used as a technique to minimize the active power losses on the branches of the DS. It is the objective of distribution system operator (DSO) to minimize the active power losses in this system, while guaranteeing the system reliability and stability. In this dissertation, a new load demand coordination strategy is presented, that envisions the harmonization of the decisions made by the DSO and those made by the SH energy management systems. This strategy provides the DSO the capability to motivate the end-users, not only to respond to the retailer market signal but also to a price signal generated by the DSO. Therefore, this coordination strategy allows addressing this problem, preventing the increased losses resulting from the SH optimization process. This new strategy is tested on several distribution systems. Advanced computing techniques are used in order to make it feasible for practical applications.