Séminaire “Resilience analysis within microgrid systems through distributed optimization”

Présentation par Vittorio Casagrande, Univ. College London, UK.

Jeudi 9 décembre à 16h00, venez nombreux au séminaire qui a pour thème “Resilience  analysis within microgrid systems  through distributed optimization”. Celui-ci aura lieu dans la salle A042.

Abstract:
The microgrid energy management system is the controller that computes power flows to optimize microgrid functioning and to meet operational goals. The major challenges that need to be addressed at this level are uncertainty management, customer privacy and resiliency to faults. Distributed control methods offer several advantages to deal with all the aforementioned issues. After an overview of the background information on distributed control, microgrid faults and privacy related issues, this talk will present a distributed optimization-based model predictive control algorithm for scheduling microgrid operation. Since it relies on local computation and neighbour-to-neighbour communication, such controller allows both to limit the amount of information that the agents of the network exchange and to deal locally with faults and uncertainty. Simulation results will be presented on different microgrid models and fault scenarios.

Vittorio Casagrande received the B.Sc. degree in Industrial Engineering and the M.Sc. degree (cum laude) in Electrical Energy and Systems Engineering in 2016 and 2019, respectively, both from University of Trieste, Italy. During his master’s, he was an Erasmus student at Eindhoven University of Technology (TU/e) from September 2017 to February 2018 and he has been an intern at Danieli Automation S.p.A. from June 2018 to January 2019. After a 5 months experience as research associate at University of Trieste working on machine
learning methods for pattern recognition, he started a PhD at U niversity College London (UCL) in September 2019. His current research interests span energy management for microgrid systems, distributed fault tolerant control and cyber-physical systems.