A4 Refereed article in a conference publication
Flywheel Energy Storage Systems Utilization for Short Duration Power Systems Frequency Stability Support
Authors: Ngaha, Willy Stephane; Dorrell, David G.; Gomes, Chandima
Editors: N/A
Conference name: Innovations in Power and Advanced Computing Technologies
Publication year: 2025
Book title : 2025 Innovations in Power and Advanced Computing Technologies (i-PACT)
ISBN: 979-8-3315-7374-4
eISBN: 979-8-3315-7373-7
DOI: https://doi.org/10.1109/i-PACT65952.2025.11307900
Publication's open availability at the time of reporting: No Open Access
Publication channel's open availability : No Open Access publication channel
Web address : https://ieeexplore.ieee.org/document/11307900
The transition to decentralized and inverter-based resources (IBR) in the power system has led to a significant reduction in system inertia, which in traditional systems is used for inertia support, making frequency stability a critical operational challenge. Flywheel energy storage systems (FESS) offer a promising solution for short-duration frequency support due to their rapid response time, high power density, and long cycle life compared to similarly sized battery energy storage systems (BESS). This paper investigates the use of FESS to enhance power system frequency stability during transient disturbances and load-generation imbalances. The study emphasizes the dynamic behavior of FESS in delivering synthetic inertia and primary frequency regulation within milliseconds. Various control strategies, including virtual synchronous generator (VSG) control, frequency-droop characteristics, and coordinated control with other storage systems, are reviewed and evaluated. The simulation was conducted on MATLAB/Simulink to demonstrate the effectiveness of FESS-based DC machines in limiting frequency deviations, improving the rate of change of frequency (RoCoF), and supporting system recovery. The findings underscore the suitability of FESS for short-duration, high-power applications in power systems. Future research directions are proposed to address optimization in sizing, integration with hybrid systems, large-scale FESS, and advanced control for improved frequency resilience.