期刊
CRYOGENICS
卷 131, 期 -, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.cryogenics.2023.103660
关键词
HTS-SMES magnet; Safe operation strategy; Intelligent algorithm; State prediction
The HTS-SMES magnets inevitably produce AC loss during the charging and discharging process, causing temperature rise and potential damage. Detecting the temperature rise is delayed and measuring it is not feasible for monitoring and protecting the magnets. This paper proposes a safe operation strategy based on state prediction, establishing a state database and using intelligent algorithms to predict AC loss and temperature to determine the magnets' state.
The HTS-SMES magnets will inevitably produce AC loss during the charging and discharging process. The ex-istence of AC loss will cause the temperature of the magnets to rise, and then the critical current of the magnets will drop. The excessive temperature rise may even make the magnets damage. The temperature rise in the dynamic process of the HTS magnets is a key parameter that affects the safe and stable operation of the magnets. However, the detection of the temperature rise is delayed, so it is not feasible to monitor and protect the magnets by measuring the temperature. In this paper, a safe operation strategy for HTS-SMES magnets based on state prediction is proposed. By calculating the AC loss and temperature of the magnets at different initial tempera-ture, initial current, charging and discharging rate, a state database of the magnets is established. The AC loss and temperature of the magnets will be predicted by intelligent algorithms at the power demand stage of the power system to judge the state of the magnets. If the critical value is exceeded, the protection system will act. This is of great significance for ensuring the safe and stable operation of the HTS-SMES magnets.
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