A safe operation strategy for HTS-SMES magnets based on state prediction
The HTS-SMES magnets will inevitably produce AC loss during the charging and discharging process. The existence 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 t...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Zou, Xinyu [verfasserIn] Guo, Shuqiang [verfasserIn] Ren, Li [verfasserIn] Li, Xin [verfasserIn] Xu, Ying [verfasserIn] Tang, Yuejin [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2023 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Cryogenics - Amsterdam [u.a.] : Elsevier Science, 1960, 131 |
|---|---|
| Übergeordnetes Werk: |
volume:131 |
| DOI / URN: |
10.1016/j.cryogenics.2023.103660 |
|---|
| Katalog-ID: |
ELV009554769 |
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| 245 | 1 | 0 | |a A safe operation strategy for HTS-SMES magnets based on state prediction |
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| 520 | |a The HTS-SMES magnets will inevitably produce AC loss during the charging and discharging process. The existence 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 temperature, 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. | ||
| 650 | 4 | |a HTS-SMES magnet | |
| 650 | 4 | |a Safe operation strategy | |
| 650 | 4 | |a Intelligent algorithm | |
| 650 | 4 | |a State prediction | |
| 700 | 1 | |a Guo, Shuqiang |e verfasserin |4 aut | |
| 700 | 1 | |a Ren, Li |e verfasserin |4 aut | |
| 700 | 1 | |a Li, Xin |e verfasserin |4 aut | |
| 700 | 1 | |a Xu, Ying |e verfasserin |4 aut | |
| 700 | 1 | |a Tang, Yuejin |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Cryogenics |d Amsterdam [u.a.] : Elsevier Science, 1960 |g 131 |h Online-Ressource |w (DE-627)30671616X |w (DE-600)1501356-X |w (DE-576)094531307 |x 0011-2275 |7 nnns |
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2023 |
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52.43 33.09 |
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2023 |
| allfields |
10.1016/j.cryogenics.2023.103660 doi (DE-627)ELV009554769 (ELSEVIER)S0011-2275(23)00034-6 DE-627 ger DE-627 rda eng 660 DE-600 52.43 bkl 33.09 bkl Zou, Xinyu verfasserin aut A safe operation strategy for HTS-SMES magnets based on state prediction 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The HTS-SMES magnets will inevitably produce AC loss during the charging and discharging process. The existence 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 temperature, 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. HTS-SMES magnet Safe operation strategy Intelligent algorithm State prediction Guo, Shuqiang verfasserin aut Ren, Li verfasserin aut Li, Xin verfasserin aut Xu, Ying verfasserin aut Tang, Yuejin verfasserin aut Enthalten in Cryogenics Amsterdam [u.a.] : Elsevier Science, 1960 131 Online-Ressource (DE-627)30671616X (DE-600)1501356-X (DE-576)094531307 0011-2275 nnns volume:131 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 52.43 Kältetechnik 33.09 Physik unter besonderen Bedingungen AR 131 |
| spelling |
10.1016/j.cryogenics.2023.103660 doi (DE-627)ELV009554769 (ELSEVIER)S0011-2275(23)00034-6 DE-627 ger DE-627 rda eng 660 DE-600 52.43 bkl 33.09 bkl Zou, Xinyu verfasserin aut A safe operation strategy for HTS-SMES magnets based on state prediction 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The HTS-SMES magnets will inevitably produce AC loss during the charging and discharging process. The existence 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 temperature, 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. HTS-SMES magnet Safe operation strategy Intelligent algorithm State prediction Guo, Shuqiang verfasserin aut Ren, Li verfasserin aut Li, Xin verfasserin aut Xu, Ying verfasserin aut Tang, Yuejin verfasserin aut Enthalten in Cryogenics Amsterdam [u.a.] : Elsevier Science, 1960 131 Online-Ressource (DE-627)30671616X (DE-600)1501356-X (DE-576)094531307 0011-2275 nnns volume:131 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 52.43 Kältetechnik 33.09 Physik unter besonderen Bedingungen AR 131 |
| allfields_unstemmed |
10.1016/j.cryogenics.2023.103660 doi (DE-627)ELV009554769 (ELSEVIER)S0011-2275(23)00034-6 DE-627 ger DE-627 rda eng 660 DE-600 52.43 bkl 33.09 bkl Zou, Xinyu verfasserin aut A safe operation strategy for HTS-SMES magnets based on state prediction 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The HTS-SMES magnets will inevitably produce AC loss during the charging and discharging process. The existence 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 temperature, 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. HTS-SMES magnet Safe operation strategy Intelligent algorithm State prediction Guo, Shuqiang verfasserin aut Ren, Li verfasserin aut Li, Xin verfasserin aut Xu, Ying verfasserin aut Tang, Yuejin verfasserin aut Enthalten in Cryogenics Amsterdam [u.a.] : Elsevier Science, 1960 131 Online-Ressource (DE-627)30671616X (DE-600)1501356-X (DE-576)094531307 0011-2275 nnns volume:131 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 52.43 Kältetechnik 33.09 Physik unter besonderen Bedingungen AR 131 |
| allfieldsGer |
10.1016/j.cryogenics.2023.103660 doi (DE-627)ELV009554769 (ELSEVIER)S0011-2275(23)00034-6 DE-627 ger DE-627 rda eng 660 DE-600 52.43 bkl 33.09 bkl Zou, Xinyu verfasserin aut A safe operation strategy for HTS-SMES magnets based on state prediction 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The HTS-SMES magnets will inevitably produce AC loss during the charging and discharging process. The existence 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 temperature, 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. HTS-SMES magnet Safe operation strategy Intelligent algorithm State prediction Guo, Shuqiang verfasserin aut Ren, Li verfasserin aut Li, Xin verfasserin aut Xu, Ying verfasserin aut Tang, Yuejin verfasserin aut Enthalten in Cryogenics Amsterdam [u.a.] : Elsevier Science, 1960 131 Online-Ressource (DE-627)30671616X (DE-600)1501356-X (DE-576)094531307 0011-2275 nnns volume:131 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 52.43 Kältetechnik 33.09 Physik unter besonderen Bedingungen AR 131 |
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10.1016/j.cryogenics.2023.103660 doi (DE-627)ELV009554769 (ELSEVIER)S0011-2275(23)00034-6 DE-627 ger DE-627 rda eng 660 DE-600 52.43 bkl 33.09 bkl Zou, Xinyu verfasserin aut A safe operation strategy for HTS-SMES magnets based on state prediction 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The HTS-SMES magnets will inevitably produce AC loss during the charging and discharging process. The existence 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 temperature, 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. HTS-SMES magnet Safe operation strategy Intelligent algorithm State prediction Guo, Shuqiang verfasserin aut Ren, Li verfasserin aut Li, Xin verfasserin aut Xu, Ying verfasserin aut Tang, Yuejin verfasserin aut Enthalten in Cryogenics Amsterdam [u.a.] : Elsevier Science, 1960 131 Online-Ressource (DE-627)30671616X (DE-600)1501356-X (DE-576)094531307 0011-2275 nnns volume:131 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 52.43 Kältetechnik 33.09 Physik unter besonderen Bedingungen AR 131 |
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Zou, Xinyu @@aut@@ Guo, Shuqiang @@aut@@ Ren, Li @@aut@@ Li, Xin @@aut@@ Xu, Ying @@aut@@ Tang, Yuejin @@aut@@ |
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A safe operation strategy for HTS-SMES magnets based on state prediction |
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A safe operation strategy for HTS-SMES magnets based on state prediction |
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Zou, Xinyu |
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Zou, Xinyu Guo, Shuqiang Ren, Li Li, Xin Xu, Ying Tang, Yuejin |
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Zou, Xinyu |
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10.1016/j.cryogenics.2023.103660 |
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a safe operation strategy for hts-smes magnets based on state prediction |
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A safe operation strategy for HTS-SMES magnets based on state prediction |
| abstract |
The HTS-SMES magnets will inevitably produce AC loss during the charging and discharging process. The existence 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 temperature, 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. |
| abstractGer |
The HTS-SMES magnets will inevitably produce AC loss during the charging and discharging process. The existence 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 temperature, 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. |
| abstract_unstemmed |
The HTS-SMES magnets will inevitably produce AC loss during the charging and discharging process. The existence 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 temperature, 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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| title_short |
A safe operation strategy for HTS-SMES magnets based on state prediction |
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Guo, Shuqiang Ren, Li Li, Xin Xu, Ying Tang, Yuejin |
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