Within this use case (in particular UC 6), ASM aims to perform predictive maintenance of the distribution grid and make an accurate model of the network in real time. The main goal is to optimise electrical distribution grid operations through both the increased real-time observability and the predictive maintenance applied on transformers and lines.

Currently, a portion of ASM MV and LV power grid hosts the testing of technologies and services. On this portion of the network the tests will be carried out exploiting the data coming from 6 Power Quality Analysers (PQA), placed in two secondary substations and 1 Phasor Measurement Unit (PMU), placed in a Primary substation (PS).

A key part of the infrastructure is ASM's server farm and broker which receives data from all sensors via MQTT protocols and collects it, enabling real-time sharing with technical partners. The data is partially pre-processed before sharing, so that it is fully anonymised and has all the necessary information in a light and quick way to be viewed.

The aforementioned devices are used to collect a large amount of data from the electrical network, such as the magnitude and phase angle of the voltage and current, the amount of harmonics and all the quantities to evaluate the power quality. In particular PMUs can report measurements with a high granularity, equal to 120 measurements per second with an error of less than 1%.

The knowledge of such a large amount of data combined with the use of intelligent tools that analyse the data and convert it into information necessary for the well-being of the network enables effective management of the distribution network, so as to extend its service life, reduce disconnection times for users, improve power quality and in the long term reduce costs for end users.