双碳目标下高载能工业用户灵活互动发展趋势与技术挑战OA
Development Trends and Technical Challenges of Flexible Interaction of Energy-intensive Industrial Users Under Goals of Carbon Emission Peak and Carbon Neutrality
随着双碳目标的推进,新能源接入比例不断提升,电网企业对于高载能工业用户的灵活互动需求愈发迫切.然而,高载能工业门类多,过程工艺与能源供需特性复杂,如何有效挖掘其负荷调节潜力,实现与电网的灵活互动仍面临诸多挑战.围绕双碳目标下高载能工业用户灵活互动发展趋势,对高载能工业用户灵活互动实现方式进行了分类,梳理了国内外高载能工业用户灵活互动现状,阐述了高载能工业用户灵活互动的主要技术挑战及关键技术.结合典型案例,探讨了高载能工业用户参与电网互动的可行性和必要性.最后,对高载能工业用户灵活互动的未来发展趋势作了展望.
With the advancement of the goals of carbon emission peak and carbon neutrality,the integration proportion of renewable energy continues to increase,making the need for flexible interaction between power enterprises and energy-intensive industrial users more urgent.However,the energy-intensive industrial sector encompasses diverse categories,with complex process technologies and energy supply-demand characteristics.Effectively exploiting their load regulation potential and achieving flexible interaction with the power grid still face many challenges.Focusing on the development trends of flexible interaction for energy-intensive industrial users under the goals of carbon emission peak and carbon neutrality,this paper classifies the implementation approaches for such interaction,reviews the current domestic and international status,and elaborates on the main technical challenges and key technologies.Through typical cases,the feasibility and necessity of energy-intensive industrial users participating in power grid interaction are discussed.Finally,the future development trends of flexible interaction for energy-intensive industrial users are prospected.
贾宏杰;韩一德;徐宪东;胡建杭;廖思阳;陈厚合;和学豪
天津大学电气自动化与信息工程学院,天津市 300072天津大学电气自动化与信息工程学院,天津市 300072天津大学电气自动化与信息工程学院,天津市 300072昆明理工大学冶金与能源工程学院,云南省 昆明市 650500武汉大学电气与自动化学院,湖北省武汉市 430072东北电力大学电气工程学院,吉林省吉林市 132011云南电网有限责任公司电力科学研究院,云南省 昆明市 650217
双碳高载能工业用户灵活互动能源供需负荷调节需求响应
carbon emission peak and carbon neutralityenergy-intensive industrial userflexible interactionenergy supply-demandload regulationdemand response
《电力系统自动化》 2026 (2)
1-17,17
国家重点研发计划资助项目(2023YFB2407300). This work is supported by National Key R&D Program of China(No.2023YFB2407300).
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