Renewable Power Plants

Our aim is to drive power engineering research, innovation and education in how renewable power plants are designed and operated in power systems supporting the sustainable energy transition.

Our research focuses on design and operation of renewable power plants in power systems. Special focus is on hybrid power plants, typically co-located converter-based power plants consisting of a wind, solar and storage technologies behind a single grid connection point. We develop and operate the Risø HPP facility, used for testing and experimental validation of our research and for commercial services and education.

Our main stakeholders are renewable plant developers and operators, grid operators, OEMs and academia. The research is disseminated via education, publications, standardization, services, datasets, and software (e.g. HyDesign, and Balancing Tool Chain).


  • European sector-coupled power system balancing modeling
  • Quantification of operational reserve needs
  • Power system flexibility needs analysis
  • System integration of high share of HPPs
  • AI acceleration for large-scale power system optimization
  • Robust HPP design considering uncertainty and reliability
  • HPP electrical design for grid services and grid code compliance
  • Multi-commodity HPP design (P2X)
  • HPP design for PPA and multiple market participation
  • Sustainability-oriented HPP design (LCA)
  • Targets: plant generation and electricity market prices
  • Forecasting framework (data-driven workflows, ML/physical models, AI-weather prediction...)
  • Residual analysis and forecast uncertainty modeling: quantifying spatiotemporal, portfolio and lead-time dependencies
  • Forecast pipeline implementation and validation at Risø HPP
  • Multiple markets participation considering uncertainties
  • PPA design considering long- and short-term uncerainties
  • AI surrogate model
  • Portfolio management
  • Interfacing EMS with HPP controller
  • EMS validation at Risø HPP facility
  • Time- and frequency-domain modelling and control of converter-based plants
  • Advanced control for plant stability and grid services
  • HPP Control architecture
  • AI driven smart control
  • Interoperability between converter-based assets and plant controller
  • Advanced grid services
  • Supporting weak grids
  • Supporting low inertia power systems
  • Interoperability and coordinated control of multiple power plants
  • Grid compliance test of converter based units and plants
  • Grid emulation with high bandwidth
  • CHiL and PHiL testingPlant controller development platform
  • Power quality
  • Validation of models for grid connection
  • Standardisation.

Disciplines

  •  Power engineering
  • Electrical engineering
  • Control engineering
  • Applied statistics
  • Applied mathematics

Competences

  • Modeling and control of converter-based renewable plants
  • Grid code compliance and standardization
  • Optimization under uncertainty
  • Renewable energy forecasting and variability modelling
  • Data driven modelling and AI
  • Hardware-in-the-Loop (HIL) experimental validation
  • Time and frequency domain modeling of renewable power plants
  • Power system stability analysis
  • Power system balancing analysis

Research area & applications

  • Plant Design
  • Forecast and Uncertainties
  • Energy Management System
  • Plant Modelling and Control
  • Grid Services and Stability
  • Experimental testing for grid connection and model validation
  • Power System Balancing