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面向电碳协同的电炉炼钢市场交易与生产调度联合优化方法OA

Joint Optimization Method for Market Trading and Production Scheduling in Electric Arc Furnace Steelmaking for Electricity-Carbon Synergy

中文摘要英文摘要

在电力市场化改革和欧盟碳边境调节机制的双重驱动下,出口型电炉炼钢企业正面临降能耗和减排放的双重压力,如何通过优化生产调度和交易策略实现电碳协同是亟待研究的重要课题.钢铁跨日连续生产的特点使其生产调度周期与现货市场交易周期不一致,导致所制定的策略经济性不佳.为此,文中提出一种考虑长短决策周期协调的电炉炼钢企业电碳协同交易与调度联合优化方法.首先,建立了基于资源任务网的电炉炼钢生产调度模型.其次,提出一种两阶段协调框架:第1阶段利用多日电价及电碳因子预测数据优化长周期生产调度计划,并采用固定跨日任务的方式对其进行日切片处理;第2阶段则基于日切片后的生产调度计划,利用日前电价和实时电价预测结果进行滚动优化,调整日交易与调度策略.最后,通过仿真验证了所提方法在降低电费成本和碳排放上的有效性.

Under the dual drive of electricity marketization reform and the EU carbon border adjustment mechanism(CBAM),export-oriented electric arc furnace(EAF)steelmaking enterprises are facing the dual pressure of reducing both energy consumption and emissions.How to achieve the electricity-carbon synergy through optimized production scheduling and trading strategies has become a critical research priority.The continuous cross-day production characteristic of steelmaking makes its production scheduling cycles inconsistent with the trading cycles of the spot market,resulting in poor economic efficiency of the formulated strategy.Therefore,this paper proposes a joint trading and scheduling optimization method with electricity-carbon synergy in EAF steelmaking enterprises considering the coordination of long-and short-term decision cycles.Firstly,the EAF steelmaking production scheduling model based on the resource-task network is established.Secondly,a two-stage coordination framework is proposed.In the first stage,the long-term production scheduling plan is optimized using multi-day electricity price and carbon emission factor forecasts,followed by daily slicing with fixed cross-day tasks.In the second stage,based on the production scheduling plan after daily slicing,the day-ahead electricity price and real-time electricity price forecasts are used for rolling optimization and adjusting daily trading and scheduling strategies.Finally,simulations validate the effectiveness of the proposed method in reducing electricity costs and carbon emissions.

胡陈彦;李康平;李姚旺;李正辉;黄淳驿

上海交通大学国家电投智慧能源创新学院,上海市 200240上海交通大学国家电投智慧能源创新学院,上海市 200240||上海非碳基能源转换与利用研究院,上海市 200240清华四川能源互联网研究院,四川省 成都市 610213上海交通大学国家电投智慧能源创新学院,上海市 200240电力传输与功率变换控制教育部重点实验室(上海交通大学),上海市 200240||上海交通大学电气工程学院,上海市 200240

电炉炼钢电碳协同现货市场市场交易生产调度联合优化

electric arc furnace steelmakingelectricity-carbon synergyspot marketmarket tradingproduction schedulingjoint optimization

《电力系统自动化》 2026 (8)

64-72,9

国家重点研发计划政府间国际科技创新合作重点专项(2024YFE0106900)上海市"科技创新行动计划"软科学研究项目(25692109700). This work is supported by National Key R&D Program of China(No.2024YFE0106900)and Shanghai"Science and Technology Innovation Action Plan"Soft Science Research Project(No.25692109700).

10.7500/AEPS20250711009

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