Computer Science Graduate Seminar
Wednesday, February 24, 2021, 3-4pm
Extended Model Predictive Control Software Framework for Real-Time Local Management of Complex Energy Systems
- Mr Gustavo Alejandro Aragón Cabrera, M. Sc. – Chair for Computer Science 5
- Zoom: https://rwth.zoom.us/j/95286199371?pwd=M3hCUWk3VER6WnE0RlZzQUFBVFMzdz09
Meeting ID: 952 8619 9371
Regarding the requirements of the future electrical grid due to high share of renewable distributed generation, smart energy management systems (EMS) are necessary to integrate the rapid development of ICT technologies and new sensor and actuator technologies. This thesis deals with the challenges of Model Predictive Control (MPC)-based EMS and introduces the concept of extended MPC framework that includes ICT aspects of the integration of new sensor and actuator technologies, forecasting methods, data management, flexible optimization model definition and solvers integration in consideration of user needs and deployment requirements in real systems. The extended MPC framework is validated through its deployment in three different use cases: as discrete and stochastic MPC in real test sites and linked to a power flow simulator.
The computer science lecturers invite interested people to join.