Sizing of Fast Frequency Response Reserves for improving frequency security in low-inertia power systems

The increasing penetration of Renewable Energy Sources (RES) in electricity grids has led to the gradual decommissioning of conventional generators and, thus, to a decrease in the available inertia and other frequency support reserves. Consequently, the frequency security of power systems, in particular islanded low-inertia ones, is compromised, leading to faster and more extreme frequency deviations following disturbances. There is an urgent need to incorporate faster frequency reserves that can stabilize the system and enhance its resilience and reliability. This paper first investigates the impact of various frequency support mechanisms on the system frequency security in low-inertia grids. Then, we propose a novel, data-driven, gradient-descent-based method, that combines Dynamic Security Assessment (DSA) with linear predictions to optimize Fast Frequency Response (FFR) sizing for low-inertia grids. The performance of the proposed approach is evaluated using the dynamic model of Cyprus across 500 selected historical operating scenarios. The results demonstrate fast convergence, achieving the target frequency Nadir with minimal computational effort. • Provides insights on the interaction between Kinetic Energy (KE), Fast Frequency Response (FFR), Frequency Containment Reserves (FCR), and Frequency Nadir, in low-inertia power systems. • Proposes a novel, data-driven, gradient-descent-based method for sizing FFR requirements, while accounting for Under-Frequency Load Shedding (UFLS) protection schemes. • Showcases the performance of the proposed algorithm using a real, low-inertia, test system and operational data.

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Publication Details

Journal
Sustainable Energy Grids and Networks
Published
2025-04-06
DOI
https://doi.org/10.1016/j.segan.2025.101699
Citations
6
Primary Topic
Power System Optimization and Stability
Type
article
Field-Weighted Citation Impact
4.38
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article

Sizing of Fast Frequency Response Reserves for improving frequency security in low-inertia power systems

Petros Aristidou, Savvas Panagi
6 citations
Sustainable Energy Grids and Networks
Power System Optimization and Stability
4.38
article

Sizing of Fast Frequency Response Reserves for improving frequency security in low-inertia power systems

Petros Aristidou, Savvas Panagi
article en
6 citations

Abstract

The increasing penetration of Renewable Energy Sources (RES) in electricity grids has led to the gradual decommissioning of conventional generators and, thus, to a decrease in the available inertia and other frequency support reserves. Consequently, the frequency security of power systems, in particular islanded low-inertia ones, is compromised, leading to faster and more extreme frequency deviations following disturbances. There is an urgent need to incorporate faster frequency reserves that can stabilize the system and enhance its resilience and reliability. This paper first investigates the impact of various frequency support mechanisms on the system frequency security in low-inertia grids. Then, we propose a novel, data-driven, gradient-descent-based method, that combines Dynamic Security Assessment (DSA) with linear predictions to optimize Fast Frequency Response (FFR) sizing for low-inertia grids. The performance of the proposed approach is evaluated using the dynamic model of Cyprus across 500 selected historical operating scenarios. The results demonstrate fast convergence, achieving the target frequency Nadir with minimal computational effort. • Provides insights on the interaction between Kinetic Energy (KE), Fast Frequency Response (FFR), Frequency Containment Reserves (FCR), and Frequency Nadir, in low-inertia power systems. • Proposes a novel, data-driven, gradient-descent-based method for sizing FFR requirements, while accounting for Under-Frequency Load Shedding (UFLS) protection schemes. • Showcases the performance of the proposed algorithm using a real, low-inertia, test system and operational data.

Sustainable Energy Grids and NetworksVol. 42
Cyprus University of Technology (CY), Electricity Authority of Cyprus (Cyprus) (CY)
Affordable and clean energy
Openalex Percentile: Top 6%
Power System Optimization and Stability
4.38
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