Internship - Congestion Management

Function The objective of this internship is to upgrade the existing methodology and analytical tool to version 2.0, making it more robust, better aligned with operational practices and suitable for long-term planning studies. This includes: implementing lessons learned from version 1.0 by comparing OPF-based optimisation with a dispatch-oriented approach based on PTDF prioritisation; analysing discrepancies in redispatch volumes, cost allocation and grid user impacts; proposing methodological improvements. The internship takes place within the Grid Development Department, as part of the Power System Planning (PSP) team. The tool will be extended to a wider network scope (potentially up to 400 kV), enhanced with advanced post-processing capabilities to analyse congestion patterns and flexibility usage over time and space, and adapted for multi-year scenario analyses enabling clear Capex versus Opex trade-off assessments. Your Profile Master’s student in Engineering (preferably Civil Engineering) Skills in Python or R scripting Interest in optimisation techniques and power systems Knowledge of PTDF/LODF, sensitivity factors and advanced OPF concepts Strong analytical and structured problem-solving skills Ability to work on complex topics Team player with a collaborative mindset Good command of English (knowledge of French and/or Dutch is an asset) Period: Summer period Duration: 4–8 weeks Driving licence: Not required Offer A challenging and educational internship in a key area of the energy transition Close guidance by experienced professionals Period: Summer period Duration: 4–8 weeks Driving licence: Not required Location Quai Léon Monnoyer 3, 1000 Brussels