Project description
Development of Digital Twins for Electrical Systems dominated by Power Electronics
This industrial doctorate proposal focuses on the development of models and parallel simulation of elements of the electricity sector, known as Digital Twins. The aim is to be able to represent the behavior of different elements that are part of the electricity sector, with uses in transmission and distribution networks, generation, railway installations or industrial networks.
The main characteristics of this parallel simulation system or Digital Twin would be:
· Capture and analysis of the behavior of the different elements of the network and their interaction with different modes of generation, taking into account the growing use of power electronics components and the increase in the penetration of renewable energies.
· Taking advantage of the data captured and transmitted to the system, the physical information from measurements can be combined with digital information from the simulation in parallel to obtain information that would not be available otherwise (black dots). In addition, the real-time variation allows the model to be adapted and improved with measurements taken from the real system.
· Enable automated decision-making systems by combining real-time data analysis, oriented towards the development of autonomous systems where rapid responses may be required. The concept combines centralized modeling, simulation and control elements with “edge computing” elements executed at the edges of the system, allowing better reaction speeds.
· Parallel modeling and simulation also allows improvements in predictive maintenance systems and evaluation of the state of degradation of different elements. It also contributes to improving the prevention, prediction and analysis of faults.
