Project description
Electromagnetic transient simulations for robust renewable energy
Following ongoing green transition and Green Deal efforts, we have reached a point where global renewable energy capacity is expected to increase by nearly 75 % from 2024 to 2030. Despite the benefits and opportunities created by this development, challenges arise, including reduced system inertia, time-varying operating conditions, stability concerns, and stochastic power output, which threaten grid flexibility, operation, and maintenance. Supported by the Marie Skłodowska-Curie Actions programme, the DEML project will develop a physics-guided, data-driven solution that accelerates computationally intensive electromagnetic transient simulations (EMT) through deep learning-enabled model order reduction (MOR), enabling the analysis and optimisation of EU renewable energy systems and objectives.
Objective
Global renewable capacity is projected to increase by nearly 5,500 GW (about 75%) between 2024 and 2030. While this rapid expansion of decentralized generation brings opportunities, it also introduces significant challenges, such as reduced system inertia, stochastic power output, time-varying operating conditions, and stability concerns. A couple of power blackouts in recent years have highlighted that the stability of system operation is a critical issue. Together, these factors reduce grid flexibility and impose heavy computational demands for accurate analysis, estimation, and control. This proposal, dynamic equivalencing using machine learning (DEML), aims to address these challenges from a data-driven and physics-guided perspective. The objective is to accelerate computationally intense electromagnetic transient simulations (EMT) using deep learning-enabled model order reduction (MOR) technologies. Unlike traditional methods, DEML reframes the classical dynamic equivalencing task as an unsupervised machine learning problem with physics-informed constraints, addressing key limitations of the state-of-the-art nonlinear MOR approaches. Specifically, DEML will deliver dynamic equivalents (DEs) of utility-scale wind farms with doubly-fed induction generators (DFIGs) or permanent magnet synchronous generators (PMSGs), leveraging the Koopman operator framework. Such DEs are expected to accelerate EMT simulations by a factor of 2-3, while maintaining <5% error in system response. Validation will be performed using real-time hardware-in-the-loop (HIL) setups. The project is novel because it is discovery-based and fundamental to the overarching goal of analyzing large-scale power systems (LSPS) in line with the EU’s decarbonization, digitization, and energy reliance objectives.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
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Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
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Topic(s)
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships
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Call for proposal
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-MSCA-2025-PF
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SW7 2AZ London
United Kingdom
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