A Study of Distribution System Self-Healing Considering Intelligent Approaches

The ever-increasing demand for power supply with reliability and quality has leading the power utilities to stablish new operation procedures, automatism and more flexible infrastructures. In this context, the concept of smart grids emerges, aiming to meet the consumers in an efficient way, with high levels of continuity and quality. The smart grids structure has made possible that systemic restoring can be improved by the introduction of other types of electric power supply and electric network automation. This paper presents a comparative analysis between methodologies for automatic restoration in smart grids aiming to verify the quality of their response and consistency of results for several contingency situations. The analysis is accomplished by performing simulation in a real distribution system and testing the different methodologies.