HEИндивидуална стипендия2023–2025

PhyDAWN · Physics-informed Data-driven Analysis for Wind Power Hubs

„Хоризонт Европа“ — Действия „Мария Склодовска-Кюри“

Период: 2023-07-01 → 2025-06-30
Финансиране от ЕС: 214 934 €
Участници: 2
Схема: HORIZON-TMA-MSCA-PF-EF

Линиите свързват координатора с партньорите.

Накратко на български

Вятърните енергийни центрове се анализират чрез нови математически модели, които следят стабилността на множеството преобразуватели на ток. Това помага за по-доброто управление на големи офшорни паркове от вятърни турбини и прехода към въглеродна неутралност в ЕС.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

Physics-informed Data-driven Analysis for Wind Power Hubs

To address the climate challenge and energy crisis, the European Union (EU) is transitioning to carbon neutrality, with wind power as the key driver. To fully exploit EU’s offshore wind resources, the strategy of constructing wind power hub has been devised and implemented recently, especially in Denmark. However, integration of numerous power converters in wind power hub forms a sophisticated system and becomes difficult to analyse. This PhyDAWN project aims to tackle these challenges by developing physics-informed data-driven modelling and stability assessment methodologies for wind power hub. Firstly, effective small-signal impedance model of voltage source converters has been developed considering different selection of reference frames, making modelling and stability analysis of large-scale converter integration possible. Next, data-driven aggregated model for multiple converters has been proposed, improving modelling scalability under insufficient data and enabling rapid stability assessment. Then, the stability of wind power hub has be assessed, revealing new types of instability phenomenon and providing insights for converter controller design. This project has been carried out by me, my supervisor at Aalborg University, and my secondment supervisor at KTH Royal Institute of Technology. Through our collaborations, this project has created novel knowledge for wind power hubs, leading to three papers published in top-tier journals and three papers presented at flagship conferences. A software toolbox is also being developed for fully exploitation of the research outcomes in the industry, which is expected to be released on Aug. 2025. Communication activities are also carried out as expected, expanding the impact of this project to the general public and committing EU’s carbon neutrality ambition. By applying the research outcomes of this project in the industry, the stability of offshore wind power hubs can be guaranteed, enabling future reliable integration of wind energy resources in the Europe. This project can also help raise the public awareness of climate change and energy crisis, and our current efforts on addressing these challenges by renewable energy.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

To address the challenges of climate change and energy crisis, the European Union (EU) is accelerating the transition to carbon neutrality, using wind power as the key driver. To fully exploit EUs offshore wind resources, the strategy of constructing wind power hub has been devised recently and will be implemented in the North Sea. However, integration of numerous power converters in wind power hub forms a sophisticated system, making analysis difficult. This project (PhyDAWN) will tackle these challenges by developing physics-informed data-driven modelling and stability assessment methodologies for wind power hub. Firstly, effective impedance model of voltage source converters for varying operation points will be developed based on physics-informed machine learning. Next, a scalable aggregated model for wind power hub will be proposed using transfer learning, improving modelling effectiveness under insufficient data. Then, the stability of wind power hub will be assessed in a probabilistic manner, realizing intensive stability analysis for internal converters. A software toolbox will also be developed for fully exploitation of the research results in the industry. The applicant has expertise in data-driven grid analysis. During the project, she will collaborate with the supervisor at Aalborg University, who has rich research experience on power converter modelling and analysis. Besides, she will collaborate with the secondment supervisor at KTH Royal Institute of Technology, who is an expert of control theory. Through these collaborations, PhyDAWN will create novel knowledge for wind power hubs, and also strengthen the applicants career prospects. The research results will be disseminated by publications in top journals and conferences, producing a positive impact on raising the Europe knowledge base. Moreover, communication activities are planned to expand the impact of this project to the general public, committing to EUs carbon neutrality ambition.

Оригинален текст от CORDIS (на английски).

Участници

AALBORG UNIVERSITET · AalborgКоординаторДания
KUNGLIGA TEKNISKA HOEGSKOLAN · StockholmШвеция