Distributed and Intelligence Power System (DIPS)
The research side of the microgrid is focused on developing a mini-city test environment for researchers to provide early access to the future of observations, by leveraging the campus as a living laboratory and integrating sensors and smart devices such as PMUs into the power grid network.
The devies has been controlled in real-time by implementing DIPS, a distributed and intelligent framework that exploit technologies such as edge computing, open-source data streaming platform, machine learning, and cloud engineering (CICD) to handle and manage the share volume of high-frequency data coming from these smart devices in real-time and to enable its analysis closer to the devices (to come: our DIPS R/I and blog and ML use case blog here).
The platform will generate research-ready data sets, following the data governance and FAIR principles (to come: our data governance blog here), and will make it accessible through a fully governed, safe and secure environment (SeRP, our research energy data hub) for researchers to support knowledge discovery and innovations in the energy sector.
See the technology stack here.