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In the research group for Algorithms, Models, and Optimization (AMO) in VITO’s Unit for Water and Energy Transition (WE-T) at EnergyVille we focus on discovering, harvesting, and valorizing flexibility in energy production, storage, distribution, and consumption as a key factor in the drive towards a sustainable future energy system. We design and implement pragmatic, data-driven, solutions and build high performance power flow, control, scheduling, forecasting, bidding, and decision support algorithms.
One of the major research topics within the AMO team is to support the European distribution system operators (DSO) with the challenges of electrification of transport and heating, and of distributed generation. Our grid decision support group designs and builds data driven tools that improve the visibility on the low voltage (LV) grid and that allow optimal investments in and optimal operation of the LV grid assets. We also formulate advice for system operators within a changing energy market landscape. This research is at the crossing of power systems engineering and AI, which is reflected in our multi-disciplinary team. Concrete examples of our work are the use of smart metering data to discover the layout and state of LV grids, to optimize the layout of LV grids, hosting capacity calculations, grid impact analysis of future scenarios, grid congestion forecasters, and more.
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