Metodologia para Gerenciamento de Risco Econômico em Sistemas de Potência que Integram Geração Renovável

Abstract

The operation of electric power systems is exposed to risk situations due to the presence of random parameters. These random parameters can cause technical and economic losses in the operation of the systems if they are not managed properly. This work presents a methodology for economic risk management in power systems that integrate renewable generation. The methodology combines the concept of value at risk and simulation with time series to manage risk from a non-conservative approach, so that the system operator chooses the level of risk he is willing to face. To illustrate an application of the proposed methodology, it was compared with a conservative approach to risk management. The results show that a non-conservative approach is more adequate to assess risk in systems that integrate renewable generation. Finally, it is highlighted that the proposed methodology can support the planning and operation of power systems.