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The Centre of Technological Innovation in Power Electronics and Drives (CITCEA) of the Universitat Politècnica de Catalunya - BarcelonaTech (UPC) is leading a European project that redesigns the current energy system to stabilise the power grid in the face of high renewable energy penetration. The proposed solutions involve using the loads that consume energy to help balance the grid.
With the increase in solar and wind energy, which have variable and less controllable output, maintaining power grid stability is an increasingly complex challenge in the current context of the energy transition. Traditional solutions, such as batteries or the temporary reduction of renewable generation, are costly and not always efficient.
The European project ‘Grid Forming Loads to provide maximum flexibility and enable future power systems with very high renewable generation penetration’ (GridForLoads) proposes an innovative alternative to address the new power grid challenges arising from the penetration of renewable energy: grid-forming loads.
The project aims to leverage energy-consuming devices on the grid, such as electric vehicle chargers or pump drives, which, thanks to advanced control, can actively help maintain grid balance. This allows renewables to operate at full capacity, without the need to reduce generation or compromise system reliability.
The grid-forming loads developed within the project allow the responsibility for forming and stabilising the grid to shift from generators to consumers, reversing the traditional operation of the power grid, where generators have historically been responsible for stabilising the network. The research team will test this technology through experimental tests and system-scale simulations.
Impact
GridForLoads will lay the foundations for a more reliable, efficient power system, prepared for a future based on clean energy.
UPC has filed the patent 'Method and system for controlling a voltage source converter as a grid forming load' and is promoting the development of the concept and its commercial exploitation and application.
Partners, budget and funding
Led by CITCEA-UPC, the project is funded with €2.5 million under the Horizon Europe programme (HORIZON-101192350-GridForLoads) and involves six European research centres and companies. In addition to CITCEA-UPC, the project team includes the collaboration with the UPC’s Hydrogen Specific Research Centre (CER-H2). GridForLoads has a duration of 42 months (January 2025 – June 2028).

Related Projects
- A team from the Resources Recovery and Environmental Management (R2EM) group, of the Barcelona Research Center in Multiscale Science and Engineering (CCEM), at the Universitat Politècnica de Catalunya - BarcelonaTech (UPC), is participating in the MagNa project, which is developing an innovative system to recover magnesium from the brines generated by the seawater desalination process. The recovered materials will be used for industrial purposes and will help reduce Europe’s trade dependence.
- The Center for Industrial Diagnostics (CDIF) and the Energy Processing and Integrated Circuits (EPIC) group at the Universitat Politècnica de Catalunya - BarcelonaTech (UPC) are participating in FLEXHYBAT (Design and control of flexible hydropower plants by hybridisation with second life batteries), a project exploring the hybridisation of hydropower plants with second-life batteries to improve their flexibility, efficiency and durability.
- The Centre for Technological Innovation in Static Converters and Drives (CITCEA) at the Universitat Politècnica de Catalunya - BarcelonaTech (UPC) participates in the H2GLASS project, which aims to accelerate decarbonisation in the glass industry through the development and application of the new technologies needed to achieve complete hydrogen (H₂) combustion in glass or steel production facilities.
- A team from the CATMech at the Universitat Politècnica de Catalunya - BarcelonaTech (UPC) has created a computer system that rapidly calculates the CO₂ balance of agricultural and forestry estates. The project, developed within the framework of Agrixels, is coordinated by the Intelligent Data Science and Artificial Intelligence Research Center (IDEAI-UPC) and applies machine learning, artificial intelligence and satellite data methodologies to estimate the emissions and carbon absorption capacity of a plot of land in just three minutes.




