PhD Thesis
Non-centralized Optimization-Based Control Schemes for Large-Scale Energy Systems
Student/s
Supervisor/s
Description
The aim of this thesis is to design partitioning methods and non-centralized optimization-based controllers for large-scale complex systems with time-varying topologies, specifically within the framework of power networks, while taking into account the interaction between the partitioning and the control approaches towards improving the closed-loop system performance. Methodologies from graph theory, distributed optimization, game theory, and MPC will be explored.
The work is under the scope of the following projects:
- INCITE: Innovative controls for renewable sources integration into smart energy systems (web)
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