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1.东南大学电气工程学院,江苏省南京市 210096
2.国网浙江省电力有限公司电力科学研究院,浙江省杭州市 310000
3.香港大学电气与电子工程系,香港 999077
周苏洋(1987—),男,通信作者,副教授,主要研究方向:综合能源系统和电力市场。E-mail:suyang.zhou@seu.edu.cn
关奥博(1999—),男,博士研究生,主要研究方向:综合能源系统建模与电力系统分析。E-mail:aobo_guan@seu.edu.cn
顾伟(1981—),男,教授,主要研究方向:综合能源系统、电力系统运行控制。E-mail:wgu@seu.edu.cn
收稿:2024-06-29,
修回:2024-09-13,
网络出版:2024-11-14,
纸质出版:2025-02-10
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周苏洋,关奥博,顾伟等.工业综合能源系统的多工序统一建模与规划[J].电力系统自动化,2025,49(3):31-41.
ZHOU Suyang,GUAN Aobo,GU Wei,et al.Unified Modeling and Planning of Industrial Integrated Energy System with Multiple Processes[J].Automation of Electric Power Systems,2025,49(3):31-41.
周苏洋,关奥博,顾伟等.工业综合能源系统的多工序统一建模与规划[J].电力系统自动化,2025,49(3):31-41. DOI: 10.7500/AEPS20240629002.
ZHOU Suyang,GUAN Aobo,GU Wei,et al.Unified Modeling and Planning of Industrial Integrated Energy System with Multiple Processes[J].Automation of Electric Power Systems,2025,49(3):31-41. DOI: 10.7500/AEPS20240629002.
在工业综合能源系统规划过程中考虑工序调度潜力,充分挖掘电、气、冷、热等异质能流的协同互补特性,是促进工业用能绿色发展的有效途径。文中从综合能源系统规划的角度,探讨了典型工业工序统一建模与供用能设备容量最优配置方法。首先,设计了考虑能流品位差异的工业综合能源供用能方案;然后,构建了典型工业工序的物料-能流-碳流模型和变工况附加模型,实现工序用能的精确刻画;最后,提出了计及生产侧工序调度的工业综合能源系统规划模型,针对模型的非线性特性,提出基于离散取值的多线性项线性化方法,保证求解精度与效率。算例分析表明,在工业综合能源系统规划过程中考虑工序调度潜力,能够减少工业企业的投资成本和总成本。
It is an effective way to promote the green development of industrial energy consumption by considering the potential of process scheduling and fully exploring the synergistic complementary characteristics of heterogeneous energy flows such as electricity
gas
cooling
and heat during the planning process of industrial integrated energy systems. This paper discusses the methods of unified modeling for typical industrial processes and optimal configuration for supply-demand energy equipment capacity from the perspective of integrated energy system planning. Firstly
an industrial integrated energy supply and demand scheme considering the difference of energy flow grade is designed. Then
the production-energy flow-carbon flow model and additional model of variable operation conditions for typical industrial processes are constructed to achieve the accurate depiction of process energy consumption. Finally
the planning model of industrial integrated energy systems considering the production-side process scheduling is proposed. To address the non-linear characteristics of the model
a linearization method based on discrete values of multi-linear terms is proposed to ensure the accuracy and efficiency of the solution. The case analysis shows that considering the potential of process scheduling during the planning process of industrial integrated energy systems can reduce the investment cost of industrial enterprises and total cost.
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