HVDC/MVDC research and systems integration for grid modernization
SuperGrid Institute develops high and medium voltage direct current (HVDC & MVDC) systems and simulation frameworks for next-generation power grids. The stack—C, MATLAB, Simulink, PSCAD, Python—reflects a traditional simulation-heavy research org, but adoption of reinforcement learning signals a shift toward autonomous control of converter hardware. Pain points cluster around simulation speed and reliability bottlenecks (performance degradation, late testing cycles, converter lifespan prediction), and active projects on hardware-in-the-loop testing and stability algorithm integration show practical R&D momentum.
Notable leadership hires: R&D Technical Lead
SuperGrid Institute is a privately held research organization founded in 2014, headquartered in Villeurbanne, France. The company focuses on removing technical barriers in high and medium voltage direct current systems—critical infrastructure for modern power transmission and grid decentralization. Work spans simulation, system modeling, hardware testing, and algorithm development, typically in collaboration with European industrial and academic partners on EU-funded projects. The team structure (engineering-led with dedicated research groups) emphasizes technical depth over sales motion, with 19 active roles predominantly in internship and early-career positions.
Core tools: C, MATLAB, Simulink, PSCAD, Python, Git/GitLab, Java, GIS. Currently adopting reinforcement learning for converter control systems.
Active R&D spans Horizon Europe projects, reinforcement learning controllers for power converters, hardware-in-the-loop test setups, multiphysics modeling of power modules, and DC framework integration into open-source platforms like PowSyBL.
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