Estimação probabilística de índices de estabilidade e conformidade de tensão em redes de distribuição malhadas

• Autor(a) principal: SILVA, Andressa Karlla Barbosa da
• Data de Publicação: 2018
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Biblioteca Digital de Teses e Dissertações da UFMA
• Texto Completo: https://tedebc.ufma.br/jspui/handle/tede/tede/2129
• topic: Estabilidade de tensão; Conformidade de tensão; Redes de distribuição malhadas; Métodos probabilísticos; Enumeração de estados; Equivalentes externos; Voltage stability; Voltage conformity; Meshed distribution systems; Probabilistic methods; State enumeration; External equivalents; Transmissão da Energia Elétrica, Distribuição da Energia Elétrica

In the last two decades, environmental protection movements, increased energy consumption and scarce resources have stimulated the electric sector to seek innovations to make a more efficient use of energy resources. In this context, the concept of Smart Grids has emerged, that is, networks that make use of information technology to operate automatically with a high degree of efficiency and safety. One of the main objectives of the Smart Grids is to allow large-scale integration of generating units into the distribution system, the so-called distributed generation (DG). In this way, it is necessary for the Smart Grids to adopt a configuration that offers lower losses, better support for distributed resources, and greater reliability. These requirements are satisfied with the use of meshed network topology. Consequently, the natural tendency is to move from the typical radial topology of medium voltage distribution networks to meshed networks. Therefore, it is imperative that new tools are developed for the analysis of meshed distribution networks. Thus, this work proposes probabilistic methodologies to evaluate the indices of long duration voltage variations and voltage stability in distribution networks with meshed topology. This study is carried out considering the protection system response and the uncertainties associated with circuit failures and load chronological variation. The results achieved with the proposed model demonstrated that it has good computational performance and that the inclusion of these uncertainties and of the protection has a negative impact on the voltage stability and voltage conformity indices.