4-day course: Control and Optimization of Autonomous Power Systems
Date and time: 20-23 June 09:00-16:00 CEST (UTC +2)
Course lecturer: Florian Dörfler and Saverio Bolognani
Title: 4-day course: Control and Optimization of Autonomous Power Systems
Where: Room Q2, Malvinas väg 10, KTH Campus
Directions: https://www.digitalfutures.kth.se/contact/how-to-get-here/
Please register here: http://www.eeci-igsc.eu/
The electric power system is currently undergoing a period of unprecedented changes. Centralized bulk generation based on fossil fuel and interfaced with synchronous machines is substituted by distributed generation based on renewables and interfaced with power converters. Accordingly, the entire operation of power systems is undergoing several major paradigm shifts spanning decentralized device-level control, distributed coordination of energy sources, and real-time system-level optimization.
In this course, we give a tutorial introduction to new and emerging thrusts in analysis, control, and optimization of future, smart, and cyber-enabled power systems. The solutions that we present to tap into some recent methodological advances in control and optimization, with a focus on scalable and distributed solutions, multi-agent decision problems, feedback control for real-time optimization, and (almost) model-free design.
Course dates: 20 – 23 June
Florian Dörfler
Saverio Bolognani
For more information visit the course website here: https://sites.google.com/view/eeci-autonomous-power-systems
For questions please contact: Henrik Sandberg hsan@kth.se