Alocação ótima de religadores em rede de distribuição considerando variações de tensão de curta duração

Abstract

Due to the constant evolution of society, with the fast technologies and processes modernization, energy dealerships suffer constant demands to improve their services, culminating in investments in their infrastructure, manpower and product quality. Studies are generally carried out to allocate protective devices to reduce pre-established service quality levels. Short-Duration Voltage Variations (VTCDs) are events that cause problems for the various dealerships’ consumers. As they have random occurrence, the capture of the associated parameters becomes difficult, due to the difficulty in having measurement equipment at different points in the network. In this scenario, methodologies for faults simulation are important to estimate the behavior of such variables. This master’s thesis proposes a methodology for reclosers placement in distribution systems when considering the voltage sags’ impacts in sensitive consumer. In order to estimate the various events, the performance of the State Enumeration Method and Monte Carlo Simulation, the most common short circuit simulation methodologies, were compared in a modified IEEE test system, when monitoring four buses at different points in the network . This work presents the results obtained from the comparison between the short circuit simulation methodologies and their variables’ computational impacts. Monte Carlo Simulation is an effective and practical method to estimate events. The technique that provided the best cost-benefit was used to estimate the average voltage sags’ values, now in an modified IEEE test system with double feeder, as input data to the optimization routine, via Genetic Algorithm, for the recloser placement. Real coordinated and selective adjustments were applied to verify the impact of the series installation of automatic reclosure devices. Also, the impacts arising from the optimal reclosers placement are presented. The adoption of real adjustments shows the differences imposed on the behaviors in the coordinated and selective philosophies adopted. The methodology proves to be robust to capture these peculiarities during optimization.