.png){kind=icon}
.png){kind=icon}
Return
Adaptive-extended modeling of superconducting magnets for hybrid energy storage integration in DC microgrids*
.png){kind=icon}
PRE
AI
H
M
S
M
J
J
Z
DOI：10.1088/1361-6668/ae5743.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
With the increasing deployment of renewable energy sources, DC microgrids are becoming increasingly important owing to their strong capability to integrate such resources. Hybrid energy storage systems (HESSs) play a crucial role in mitigating the inherent uncertainties of renewable energy resources. Superconducting magnetic energy storage (SMES) constitutes a key component of HESSs due to its high energy conversion efficiency. Considering that the performance of the SMES is inevitably influenced by the behavior of the magnet, and that the electromagnetic environments arising from the various operating conditions of the DC microgrid can impact the superconducting magnets, it is necessary to investigate the operating state of magnets under these conditions. Quantitative analysis of such responses remains scarce, and existing modeling efforts for DC microgrids containing HESSs are either incomplete in the calculation of superconducting properties or limited by computation efficiency. To address these limitations, this paper investigates the influences of renewable energy source fluctuations and faults—two representative operating conditions of DC microgrids—on the superconducting magnet within a HESS. In order to achieve this objective, an adaptive-extended (AE) modeling framework is developed by coupling the AE J-model with the simulated circuit, which enables the simultaneous capture of the dynamic interaction between superconducting properties and grid-level operating condition variations for the first time. The proposed AE model is validated through comparison with experimental results. Simulation results reveal the spatial distribution patterns of the magnetic field and screening current-induced stress under various operating conditions, and further show that a pole-to-pole short-circuit fault may impose a Lorentz force on the magnet that exceeds its irreversible stress limit. These findings offer valuable insights for magnet protection and enable targeted design strategies that avoid blindly increasing safety margins.
Keywords:
superconducting magnet
hybrid energy storage system
DC microgrid
adaptive-extended modeling
renewable energy integration
Journal
IF:
4.2
Papers:
8.3K
Citations:
1.2W
Organization
Cited Papers