Momentum-Accelerated Online Feedback Optimization for Power System Flexibility
Fuente:
arXiv
Salvato in:
| Autori principali: | , , , |
|---|---|
| Natura: | Preprint |
| Pubblicazione: |
2025
|
| Soggetti: | |
| Accesso online: | |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
| _version_ | 1866911306693476352 |
|---|---|
| author | Klein-Helmkamp, Florian Berger, Matthis Zettl, Irina Ulbig, Andreas |
| author_facet | Klein-Helmkamp, Florian Berger, Matthis Zettl, Irina Ulbig, Andreas |
| contents | Flexibility is increasingly gaining importance in modern power system operation. This paper presents a controller framework based on Online Feedback Optimization for real-time coordination of power system flexibility. The proposed approach introduces a momentum-augmented projection-step to accelerate convergence and improve dynamic performance. We derive the controller formulation, and evaluate its performance and stability in two representative case studies. The first examines online congestion management in distribution feeders, and the second addresses multi-layer flexibility dispatch across system interfaces. Numerical results demonstrate that the momentum-based controller achieves faster convergence and maintains constraint satisfaction, highlighting its potential for real-time flexibility control in large-scale power systems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_07077 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Momentum-Accelerated Online Feedback Optimization for Power System Flexibility Klein-Helmkamp, Florian Berger, Matthis Zettl, Irina Ulbig, Andreas Systems and Control Flexibility is increasingly gaining importance in modern power system operation. This paper presents a controller framework based on Online Feedback Optimization for real-time coordination of power system flexibility. The proposed approach introduces a momentum-augmented projection-step to accelerate convergence and improve dynamic performance. We derive the controller formulation, and evaluate its performance and stability in two representative case studies. The first examines online congestion management in distribution feeders, and the second addresses multi-layer flexibility dispatch across system interfaces. Numerical results demonstrate that the momentum-based controller achieves faster convergence and maintains constraint satisfaction, highlighting its potential for real-time flexibility control in large-scale power systems. |
| title | Momentum-Accelerated Online Feedback Optimization for Power System Flexibility |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2512.07077 |