Welcome to the Lecture: Plug-and-play operation and optimal power sharing in renewable based grids: distributed control and grid code formulations
by Prof. Ioannis Lestas, University of Cambridge, UK
Time: Thu 2025-09-11 14.30 - 15.30
Location: Teknikringen 31, floor 3, room Gustaf Dahlander
Video link: https://kth-se.zoom.us/j/63024716877
Abstract: Modern power grids are currently undergoing significant transformations with an increasing need for improved efficiency and also for distributed control policies with a plug-and-play capability. We consider in this talk the problem of designing distributed control schemes in power networks such that stability and an optimal power sharing can be guaranteed. Local conditions on the bus dynamics and corresponding control design protocols are presented which allow stability for the entire network to be guaranteed, while also leading to convergence to an optimal power allocation. Extensions are also presented in more advanced configurations of converter based grids, hybrid AC/DC networks, and discuss also local conditions that lead to optimal control interpretations that can enhance performance.
Speaker: Ioannis Lestas is a Professor of Control Engineering at the Department of Engineering, University of Cambridge. He received the B.A. (Starred First) and M.Eng. (Distinction) degrees in Electrical and Information Sciences and the Ph.D. in control engineering from the University of Cambridge (Trinity College) in 2002 and 2007, respectively. His doctoral work was performed as a Gates Scholar. He has been a Junior Research Fellow of Clare College, University of Cambridge and he was awarded a five year Royal Academy of Engineering research fellowship. He is also the recipient of a five year ERC starting grant, and an ERC proof of concept grant. He is currently serving as Associate Editor for the IEEE Transactions on Automatic Control, the IEEE Transactions on Smart Grid, and as a Senior Editor for the IEEE Transactions on Control of Network Systems. His research interests include the control of large-scale networks with applications in power systems and smart grids.