Synergizing Data and Simulation: Digital Twins and Cloud Environments for Acceleration and Optimization of Energy Transition.

Regarding the rapid development of modern power systems’ infrastructure and Industry 4.0, there is an inevitable challenge on how data provides better tools for the smart operation to improve critical decisions on monitoring, protection, and control at different levels of the future power grids and energy systems. Modern power grid facilities face the rapid integration of new technological equipment in generation, transmission, distribution, and commercialization with a lot of challenges such as Renewable Sources, Energy Storage, Electric Mobility, Flexibility of a new Energy Market, among others. Fast digitalization of control, communication, and large data are provided from the smallest measurement
instrument to big SCADA systems. In addition, the bold decentralization of power generation with distributed resources, less inertia, and new HVDC grids will make the power system reliability more critical and complex to warranty [1]. Such context creates an ideal scientific place for interdisciplinary
and applied research where different techniques are aimed to potentially improve the performance of future power grids and anticipate problems during dynamic situations. This project aims to strengthen the synergy of theory and practice of modern power systems where digitalization has reached a fair level
to acquire sufficient data for enhancing its operation with advanced analytics. Real-time simulation, digital twins, and processing large heterogenous/sparse data are some of the elements that face important tasks to develop a holistic environment for this proposal.