Abordagem para priorização de áreas críticas para incidência de interrupções de longa duração em sistema de distribuição de energia elétrica

• Autor(a) principal: Silva, Maria Clara Ferreira Almeida da
• Data de Publicação: 2019
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Biblioteca Digital de Teses e Dissertações do UFSM
• Texto Completo: http://repositorio.ufsm.br/handle/1/25790
• topic: Tomada de decisão; Confiabilidade; Sistema de distribuição; Operação; Decision-making; Reliability; Distribution system; Operation; CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA

The reliability improvement of the electricity distribution system is a recurring topic when it comes to the investments of an electric utility. Directly related to the response of the operations center, the maintenance and correction of occurrences of interruptions in the distribution system plays a fundamental role in improving reliability and user satisfaction indicators of the network. The approach proposed in this study presents the results of possible scenarios, which may help in the construction of maps of importance of the areas that stochastically present a higher probability of emergency occurrences and, therefore, generate contingency situations and impact on reliability indicators. Measured through the ratio of consumers reached, the duration of the faults and the frequency of each long outage, the impact caused by the outages can be prioritized, as the list of affected areas has different claims. This research tends to contribute to the decision-making process for dispatching occurrences to maintenance teams, as it analyzes the impact of past interruption scenarios, relating space x time and projecting possible future events. The scoring of locations that are more prone to events that generate interruptions in the distribution companies’ operating map tends to facilitate the orientation of operation centers and the prioritization of locations and orders. The application of this approach aims to ensure greater assertiveness by recognizing possible scenarios and locations predisposed to interruption of power supply, contributing both to the operator’s cognitive bias and the scenario and impact of their actions, as well as the possibilities to solve problems faster everyday.