Advanced forecasting and market‐based congestion management


This work‐package will develop methods for optimising the operation of future distribution grids with high level penetration of distributed energy resources (DERs), including inverter‐based renewable energy generation, energy storage system, and demand response resources. The WP aims to maximise the hosting capacity of distribution systems for DERs by managing optimising grid utilisation with advanced forecasting techniques using energy (data) analytics together with novel grid tariff designs as well as by an overall framework for market‐based solutions for network congestion managements. The methods developed in this work package will be implemented in the cross‐platform as a new function which contributes to improve the daily operation of the Distribution System Operators (DSOs).

The objectives of this WP are to:

  • Development of advanced forecasting techniques for load and renewable generation in electrical distribution networks.
  • Formation and optimisation of a DSO’s market based control framework for intelligent coordination of grid assets, demand resources, including battery energy storage systems and electric vehicles.
  • Integration of coordination different levels of the distribution grids, from inverter‐based DERs, smart energy buildings, university campus, up to medium‐voltage distribution network.
  • Optimisation of grid capacity utilisation using innovative grid‐tariffs as well as single and multiple congestion management solutions.
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This project has received funding from the European Community's Horizon 2020 Framework Programme under grant agreement 773717

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