Potential assessment of coordinated regulation of power load of emerging industrial users based on extreme scenarios of electric vehicle aggregators

• Published in: IET renewable power generation 2024-12, Vol.18 (16), p.4004-4019
• Main Authors: Zhang, Yuanshi, Zou, Bokang, Liang, Yiheng, Luo, Yifu, Chen, Mengtong, Ye, Jingwen, Li, Siqi, Li, Yan, Hu, Xiaoyan, Pan, Weiqi
• Format: Article
• Language: English
• Subjects: demand‐side management; electric vehicles; electricity supply industry; steel
• ISSN: 1752-1416; 1752-1424
• DOI: 10.1049/rpg2.13120

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. In extreme scenarios, datacentres, steel mills, and electric vehicle aggregators interact through electricity transactions. The production load is interactively regulated between the datacentre and the steel plant under load constraints.