闫越,冯皓然,郭逸涵,陈翔,宋金伟,张世泽,何琪
YAN Yue,FENG Haoran,GUO Yihan,CHEN Xiang,SONG Jinwei,ZHANG Shize,HE Qi

• 1:国家电网有限公司大数据中心
• 2:清华四川能源互联网研究院
• 3:北京清能互联科技有限公司

摘要(Abstract)：

目前，钢铁等大型工业企业通过参与电力需求响应虽降低了用电成本，但并未实现减排降碳的目标。为此，提出一种面向低碳需求响应的短流程钢铁企业最优用电策略。首先，利用RTN（资源任务网）对短流程钢铁生产的各阶段进行建模；其次，基于日区域用电碳排放因子曲线及碳价，对参与低碳需求响应的企业用电策略进行优化，充分调度各类生产设备的启停，以实现钢铁企业成本和碳排放量的降低；然后，对钢铁企业在不同场景下参与低碳需求响应的行为进行仿真，得出企业进行低碳需求响应后的优化用电策略，并将优化前后综合成本和减碳量进行对比，证明了所提方法的有效性；最后，探究了碳价和碳排放因子曲线对低碳需求响应的影响。
Currently, large industrial enterprises, such as steel mills, have reduced electricity costs by participating in demand response programs; however, they have not yet achieved their carbon and emission reduction goals.To address this, an optimal electricity consumption strategy is proposed for steel enterprises with short processes in the context of low-carbon demand response(DR). First, the resource-task network(RTN) model is used to model the various stages of short-process steel production. Next, based on daily regional electricity carbon emission factor curves and carbon pricing, the electricity consumption strategy of enterprises participating in low-carbon demand response is optimized. This strategy fully schedules the start-up and shutdown of various production equipment to reduce both the enterprises' energy costs and carbon emissions. Subsequently, the behavior of steel enterprises in participating in low-carbon demand response under different scenarios is simulated, and the optimized electricity consumption strategy after participation is compared with the pre-optimization strategy in terms of total cost and carbon reduction. The results validate the effectiveness of the proposed method. Finally, the impact of carbon pricing and carbon emission factor curves on low-carbon demand response is explored.

关键词(KeyWords)： 低碳需求响应;短流程炼钢;资源任务网;用电策略优化;区域用电碳排放因子
low-carbon demand response;short-process steelmaking;RTN;electricity consumption strategy optimization;carbon emission factor for regional electricity consumption

Abstract:

Keywords:

基金项目(Foundation): 国家电网有限公司大数据中心科技项目（SGSJ0000NYJS2400037）

作者(Author): 闫越,冯皓然,郭逸涵,陈翔,宋金伟,张世泽,何琪
YAN Yue,FENG Haoran,GUO Yihan,CHEN Xiang,SONG Jinwei,ZHANG Shize,HE Qi

DOI: 10.19585/j.zjdl.202505009

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