Amanda Fernandes de Oliveira, UFRJ – BSc

Systems that display variables with uncertainty characteristics require simulations through probabilistic models to consider realistic scenarios to ensure an optimal and economical solution. Deterministic analyzes, in turn, could result in underestimated or overestimated values. In electrical studies, simulations with probabilistic approaches present implementation difficulties due to the complexity of multiples scenarios representation to studies that involve simulations with electric network. While some electroenergetic studies are already analyzed from a probabilistic point of view, such as the dispatch of hydrothermal systems, other areas still lack tools to analyze results for multiple scenarios, such as, the transient stability study. The transient stability study allows to assess the safety of an electrical system and its ability to meet all demand in the event of disturbances. The system stability and its load-frequency control are being addressed worldwide due to the high penetration of uncontrollable renewable sources which has made the operation of the electrical system more complex given the equivalent inertia reduction, an essential parameter for ensure the transient stability of the system. Therefore, the aim of this project is to elaborate a tool to perform probabilistic studies of transient stability and a probabilistic analysis framework for large systems in order to bring more robustness to the analyses and results.

Luiz Raphael Balassiano Lopes, PUC-Rio – BSc

Recovering the costs incurred by an electricity distributor through the electricity supply tariff is critical to its economic and financial balance and to the provision of quality service. With the recent spread of distributed generation, it is important to apply a tariff that send end users understandable and efficient economic signals about the state of the network. Thus, this work proposes an iterative method for generating a time-varying supply tariff, in order to ensure that a distributor gets the required compensation for its costs. This process involves allocating distribution costs through a game theory-based approach and applying a model for optimizing the consumer’s demand response to a new tariff, which includes the possibility of acquiring distributed generation resources. The methodology was applied to a case study with real data from a Brazilian distributor.