Potential assessment of coordinated regulation of power load of emerging industrial users based on extreme scenarios of electric vehicle aggregators
Abstract With the advancement of industrial low carbonization and electrification, emerging industrial production technologies have the characteristics of high‐power consumption and significant impact load. In the context of increasing global climate change, frequent extreme weather events have brou...
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| Format: | Article |
| Language: | English |
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Wiley
2024-12-01
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| Series: | IET Renewable Power Generation |
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| Online Access: | https://doi.org/10.1049/rpg2.13120 |
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| _version_ | 1832579833094209536 |
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| author | Yuanshi Zhang Bokang Zou Yiheng Liang Yifu Luo Mengtong Chen Jingwen Ye Siqi Li Yan Li Xiaoyan Hu Weiqi Pan |
| author_facet | Yuanshi Zhang Bokang Zou Yiheng Liang Yifu Luo Mengtong Chen Jingwen Ye Siqi Li Yan Li Xiaoyan Hu Weiqi Pan |
| author_sort | Yuanshi Zhang |
| collection | DOAJ |
| description | Abstract With the advancement of industrial low carbonization and electrification, emerging industrial production technologies have the characteristics of high‐power consumption and significant impact load. In the context of increasing global climate change, frequent extreme weather events have brought serious challenges to the balance of power and electricity in the power system, and have a significant impact on the production scheduling of industrial users, especially industrial users using electrified production technology. First, based on the representative high‐power industrial users of hydrogen reduction steel plants and internet datacentres (IDC), this paper establishes a flexible resource scheduling optimization model for single industrial users, and considers the collaborative relationship between multi‐user flexible resources to establish a collaborative scheduling optimization model for industrial users. Then, considering the charging and discharging characteristics of electric vehicles (EV) in extreme scenarios, the redundant capacity of EVs is aggregated by EV aggregators and sold to industrial users, and a collaborative scheduling optimization model of EV aggregators and industrial users is established. Finally, the effectiveness of the proposed model and algorithm is verified by simulation analysis. Compared with the traditional industrial user production optimization, the proposed model can tap the potential of multi‐agent scheduling operation in extreme scenarios. |
| format | Article |
| id | doaj-art-eda0630c763b4c529e0bf9cb2b58d90b |
| institution | Kabale University |
| issn | 1752-1416 1752-1424 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Renewable Power Generation |
| spelling | doaj-art-eda0630c763b4c529e0bf9cb2b58d90b2025-01-30T12:15:54ZengWileyIET Renewable Power Generation1752-14161752-14242024-12-0118164004401910.1049/rpg2.13120Potential assessment of coordinated regulation of power load of emerging industrial users based on extreme scenarios of electric vehicle aggregatorsYuanshi Zhang0Bokang Zou1Yiheng Liang2Yifu Luo3Mengtong Chen4Jingwen Ye5Siqi Li6Yan Li7Xiaoyan Hu8Weiqi Pan9Jiangsu Provincial Key Laboratory of Smart Grid Technology and EquipmentSoutheast UniversityNanjingChinaSchool of Electrical and Automation EngineeringNanjing Normal UniversityNanjingChinaJiangsu Provincial Key Laboratory of Smart Grid Technology and EquipmentSoutheast UniversityNanjingChinaSchool of Electrical and Automation EngineeringNanjing Normal UniversityNanjingChinaJiangsu Provincial Key Laboratory of Smart Grid Technology and EquipmentSoutheast UniversityNanjingChinaJiangsu Provincial Key Laboratory of Smart Grid Technology and EquipmentSoutheast UniversityNanjingChinaSchool of Electrical and Automation EngineeringNanjing Normal UniversityNanjingChinaJiangsu Provincial Key Laboratory of Smart Grid Technology and EquipmentSoutheast UniversityNanjingChinaState Grid Jiangsu Electric Power Co., Ltd. Economic Research InstituteNanjingChinaJiangsu Provincial Key Laboratory of Smart Grid Technology and EquipmentSoutheast UniversityNanjingChinaAbstract With the advancement of industrial low carbonization and electrification, emerging industrial production technologies have the characteristics of high‐power consumption and significant impact load. In the context of increasing global climate change, frequent extreme weather events have brought serious challenges to the balance of power and electricity in the power system, and have a significant impact on the production scheduling of industrial users, especially industrial users using electrified production technology. First, based on the representative high‐power industrial users of hydrogen reduction steel plants and internet datacentres (IDC), this paper establishes a flexible resource scheduling optimization model for single industrial users, and considers the collaborative relationship between multi‐user flexible resources to establish a collaborative scheduling optimization model for industrial users. Then, considering the charging and discharging characteristics of electric vehicles (EV) in extreme scenarios, the redundant capacity of EVs is aggregated by EV aggregators and sold to industrial users, and a collaborative scheduling optimization model of EV aggregators and industrial users is established. Finally, the effectiveness of the proposed model and algorithm is verified by simulation analysis. Compared with the traditional industrial user production optimization, the proposed model can tap the potential of multi‐agent scheduling operation in extreme scenarios.https://doi.org/10.1049/rpg2.13120demand‐side managementelectric vehicleselectricity supply industrysteel |
| spellingShingle | Yuanshi Zhang Bokang Zou Yiheng Liang Yifu Luo Mengtong Chen Jingwen Ye Siqi Li Yan Li Xiaoyan Hu Weiqi Pan Potential assessment of coordinated regulation of power load of emerging industrial users based on extreme scenarios of electric vehicle aggregators IET Renewable Power Generation demand‐side management electric vehicles electricity supply industry steel |
| title | Potential assessment of coordinated regulation of power load of emerging industrial users based on extreme scenarios of electric vehicle aggregators |
| title_full | Potential assessment of coordinated regulation of power load of emerging industrial users based on extreme scenarios of electric vehicle aggregators |
| title_fullStr | Potential assessment of coordinated regulation of power load of emerging industrial users based on extreme scenarios of electric vehicle aggregators |
| title_full_unstemmed | Potential assessment of coordinated regulation of power load of emerging industrial users based on extreme scenarios of electric vehicle aggregators |
| title_short | Potential assessment of coordinated regulation of power load of emerging industrial users based on extreme scenarios of electric vehicle aggregators |
| title_sort | potential assessment of coordinated regulation of power load of emerging industrial users based on extreme scenarios of electric vehicle aggregators |
| topic | demand‐side management electric vehicles electricity supply industry steel |
| url | https://doi.org/10.1049/rpg2.13120 |
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