https://doi.org/10.1140/epjs/s11734-025-01493-3
Regular Article
Research on thermal control elimination method of screening current of high-temperature superconducting magnets based on K-means clustering algorithm
1
Department of Automation, University of Science and Technology of China, 230026, Hefei, China
2
Institute of Electrical Engineering, Chinese Academy of Sciences, 100190, Beijing, China
3
University of Chinese Academy of Sciences, 100049, Beijing, China
Received:
30
August
2024
Accepted:
26
January
2025
Published online:
7
March
2025
This paper proposes an improved heating elimination method to mitigate screening currents in high-temperature superconducting (HTS) magnets. To address the non-uniform target temperatures across different regions of the magnet during heating, a spatially non-uniform heating strategy is proposed to enhance its application in large and medium-sized magnets. First, an electromagnetic-thermal coupling model for HTS magnetic energy storage system is established, and the desired heating temperatures at key locations are back-calculated using the critical current formula of superconductors. The K-means algorithm is then employed to cluster the calculated temperature data, with the desired heating temperature as a one-dimensional feature. The clustering results are used to define heating zones and identify the temperature feedback points for each zone. Subsequently, fuzzy PID control is implemented based on the information from these temperature feedback points. Simulation results demonstrate that the combination of the K-means algorithm with fuzzy PID heating control can reduce the screening currents by 86.21%.
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Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
