| KEYWORD |
Digital Twin of the Orco Valley exploiting the Energy Center LAB digital real-time co-simulation infrastructure
keywords CO-SIMULATION TECHNIQUES, DIGITAL REAL-TIME SIMULATION, DIGITAL TWIN, POWER SIMULATION
Reference persons LUCA BARBIERATO, EDOARDO PATTI
External reference persons ABOUZAR ESTEBSARI (Docente Esterno)
Research Groups EDA Group, Energy Center Lab
Thesis type EXPERIMENTAL
Description The Orco Valley (Italy) faces numerous challenges due to the unique environmental characteristics of the region and the increasing penetration of renewable energy sources. To ensure the power grid's reliability, resilience, and efficiency, it is essential to understand and manage the interactions between the grid and the surrounding environment effectively. This thesis proposes designing and developing the Orco Valley power grid digital twin to address these challenges using the Energy Center LAB digital real-time co-simulation [1][2]. The digital twin will create a virtual replica of the power grid. At the same time, the real-time co-simulation will allow integration with other environmental models, enabling a holistic understanding of the grid's behaviour and its impact on the surrounding ecosystem.
The main objectives of this thesis are as follows:
- Develop a power grid digital twin for Valle Orco, capturing the grid's generation, transmission, and distribution components.
- Integrate the power grid digital twin with other environmental models, such as hydrological, ecological, and meteorological models, to create a comprehensive simulation framework.
- Enable real-time co-simulation, facilitating the exchange of data and information among the different models to capture the dynamic interactions between the power grid and the environment.
- Utilize the integrated framework for real-time monitoring, analysis, and optimization of the power grid's performance, considering the region's environmental conditions.
- Evaluate the effectiveness of the proposed framework through case studies, comparing the simulation results with real-world observations and existing energy management strategies.
[1] 2023 L. Barbierato et al. "Exploring Stability and Accuracy Limits of Distributed Real-Time Power System Simulations via System-of-Systems Cosimulation" https://iris.polito.it/handle/11583/2974687
[2] 2023 L. Barbierato et al. "Digital Real-Time Power System Co-simulation via Distributed Transmission Line Model" https://iris.polito.it/item/preview.htm?uuid=c121d29d-9cbf-4699-8b88-914485337526
Required skills - Experience in synchronous generators and hydropower plants
- Experience in transformer modelling
- Experience in transmission line modelling
- Basic experience with time-stepped simulation (e.g., MATLAB Simulink, PSCAD)
- Basic experience with digital real-time simulation (e.g. OPAL-RT, RTDS)
- Problem-solving and proactivity soft-skill
Deadline 04/03/2025
PROPONI LA TUA CANDIDATURA