Azizi, S. (2026) Optimal Fast-Acting Frequency Containment for Modern Power Systems with Variable Inertia. In: Proceedings of 2025 IEEE International Conference on Energy Technologies for Future Grids (ETFG). 2025 IEEE International Conference on Energy Technologies for Future Grids (ETFG), 07-11 Dec 2025, Wollongong, Australia. . IEEE. ISBN: 979-8-3315-7640-0.
Abstract
This paper proposes an Optimal Fast Frequency Containment (OFFC) approach during loss-of-generation (LoG) events, combining analytical derivation with an optimization framework for resource deployment. The system frequency response is modeled by a second-order power-frequency transfer function, enabling a closed-form characterization of the optimal power injection profile. This profile maximizes the frequency nadir for a given energy input. Building on this, a scalable optimization framework is established to realize the target injection using available generation resources, each represented by a trapezoidal power profile. A novel linear formulation is developed to model the trapezoidal ramping without bilinear terms. This ensures scalability and guarantees global optimality under operational constraints such as ramp limits, delays, and energy capacities. The proposed approach supports real-time deployment decisions while accounting for resource diversity, facilitating greater integration of renewable energy sources.
Metadata
| Item Type: | Proceedings Paper |
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| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | This is an author produced version of a conference paper published in Proceedings of 2025 IEEE International Conference on Energy Technologies for Future Grids, made available under the terms of the Creative Commons Attribution License (CC-BY), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. |
| Keywords: | Laplace transform, optimal fast-acting frequency containment (OFFC), optimization, system frequency response (SFR) |
| Dates: |
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| Institution: | The University of Leeds |
| Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) |
| Date Deposited: | 22 Oct 2025 09:07 |
| Last Modified: | 02 Jun 2026 14:48 |
| Status: | Published |
| Publisher: | IEEE |
| Identification Number: | 10.1109/ETFG61999.2025.11401960 |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:233280 |
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