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Ongoing

The project studies how growing renewable energy and inverter-based technologies introduce new stability challenges, and develops advanced control solutions to ensure secure and reliable power system operation.

Project Insights

  • €249,986

    Total Project Costs
  • 3 yr

    Project Duration
  • 2024

    Year Funded

Project Description

Integration of Renewable Energy Sources (RES) is a key enabler of the clean energy transition and the path to fulfilling the goals of the European Green Deal. With the increasing penetration of RES, the number of Inverter-Based Resources (IBRs) in the power system increases, becoming a significant factor in power system dynamics. This project addresses the undesirable system dynamics that arise from control interactions between IBRs as inhibiting factors for further integration of RES. The project firstly aims to investigate where the limits of legacy control and operation of power systems are when it comes to increasing penetration of IBRs, their control interactions, and associated uncertainty phenomena. Secondly, the project proposes innovative but pragmatic control strategies based on adaptive control and Machine Learning (ML) methods. To investigate IBR control interactions, test novel controllers and compare their performance to legacy ones, the project develops standardized test platforms. The project outcomes will be used to propose changes to the European regulatory framework to improve the security of power system operation with further integration of RES. The project aims to provide essential knowledge and tools to system operators, IBR and RES producers to address the problem of IBR interactions contributing to a secure, green, and sustainable European energy future.

Project Details

Total Project Cost: €249,986

Funding Agency: Sustainable Energy Authority of Ireland (SEAI)

Year Funded: 2024

Lead Organisation: University College Dublin

Collaborators: Research Institutes of Sweden (RISE), Uppsala University (UU), Denmark Technical University (DTU), Siemens Gamesa (SG) , eRoots

Lead researcher photo

Georgios Tzounas

Lead Researcher

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