电力系统自动化2026，Vol.50Issue(8)：64-72,9.DOI:10.7500/AEPS20250711009
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
Joint Optimization Method for Market Trading and Production Scheduling in Electric Arc Furnace Steelmaking for Electricity-Carbon Synergy
摘要
Abstract
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.关键词
电炉炼钢/电碳协同/现货市场/市场交易/生产调度/联合优化Key words
electric arc furnace steelmaking/electricity-carbon synergy/spot market/market trading/production scheduling/joint optimization引用本文复制引用
胡陈彦,李康平,李姚旺,李正辉,黄淳驿..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[J].电力系统自动化,2026,50(8):64-72,9.基金项目
国家重点研发计划政府间国际科技创新合作重点专项(2024YFE0106900) （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). （25692109700）
