The new Fog/Edge Computing architectures applied to monitoring and control systems for the power system provide processing and decision-making capabilities at peripheral nodes, offering the typical advantages of Cloud solutions while overcoming communication latency limitations. Additionally, depending on the actual use of different types of information, the volume of data transferred to the Cloud can be reduced, enabling continuous streaming and real-time data analysis.

The report describes the results of the development of a hardware/software platform called Fog INtelliGent Edge Reactive (FINGER), designed to test Fog/Edge Computing architectures applied to areas of interest in the power sector, such as microgrid control, observability of distribution electrical networks, aggregated management of electric vehicle charging, monitoring of individual vehicle charging profiles, and acquisition of electrical consumption profiles of end-users using second-generation meters.

The structure and components of the FINGER platform were selected considering the use cases to be tested and preparing for integration and connection with testing facilities and real devices.

The platform elements are capable of continuously sending information about their status and active processes, allowing real-time analysis of performance and evaluation of the ICT architecture, including automatic evaluation with Machine Learning algorithms. The platform also allows for the evaluation and comparison of new architectural solutions for developing Supervisory Control And Data Acquisition (SCADA) applications, electrical system protection applications, and applications for end-users.