Nos actualités
SuperGrid Institute honoured at the Premier Cercle 2021 Industrial Property Awards
As one of the top three SME patent applicants in France in 2019, SuperGrid Institute was invited to receive an award.
Technical feasibility of Power Flow Controllers for HVDC grids
Power Flow Controllers (PFCs) or Current Flow Controllers (CFCs) are expected to be required in future High Voltage Direct Current (HVDC) grids.
SuperGrid Institute consolidates its status as one of the top SME patent applicants in France
For the third year in a row, SuperGrid Institute has been ranked in the Top 10 SME patent applicants in France.
SuperGrid Institute consolidates its status as one of the top SME patent applicants in France
For the third year in a row, SuperGrid Institute has been ranked in the Top 10 SME patent applicants in France.
Seddik Bacha’s keynote presentation at PCIM Europe 2021 is now available online
Seddik Bacha gave a keynote address on HVDC grid challenges, locks and opportunities at the PCIM Europe conference.
Seddik Bacha’s keynote presentation at PCIM Europe 2021 is now available online
Seddik Bacha gave a keynote address on HVDC grid challenges, locks and opportunities at the PCIM Europe conference.
Our 2020 Annual Report is here!
2020 was a year of confirmation and accomplishment for SuperGrid Institute. Read all about the past year in our 2020 annual report!
Optimal Sizing on a Mission Profile of Isolated NPC DC-DC Converters using 3.3 kV SiC MOSFETs for Power Electronic Traction Transformers
A reduction of 13 % of the total energy loss on a typical journey can be obtained by optimising the design of the DC/DC converter on a mission profile rather than at nominal power.
Differential Flatness-Based, Full-Order Nonlinear Control of a Modular Multilevel Converter (MMC)
The main interest of this Full-Order Nonlinear Control is the possibility to obtain a very high dynamic performance of the MMC power flow.
PhD Paul Verrax: Transient-based fault identifcation algorithm for the protection of meshed HVDC grids
The present thesis investigates the concept of a single-ended fault identification algorithm based on the estimation of the fault parameters.
