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作 者:赵旭东 王艺博[1] 王博闻 刘闯[1] 赵一如 Zhao Xudong;Wang Yibo;Wang Bowen;Liu Chuang;Zhao Yiru(School of Electrical Engineering,Northeast Electric Power University,Jilin,132012,China;Power Economic Research Institute of Jilin Electric Power Co.Ltd,Northeast Electric Power University,Changchun,130021,China)
机构地区:[1]东北电力大学电气工程学院,吉林132012 [2]国网吉林省电力有限公司经济技术研究院,长春130021
出 处:《电工技术学报》2025年第7期2043-2062,2161,共21页Transactions of China Electrotechnical Society
基 金:国家自然科学基金面上项目资助(52477178)。
摘 要:利用差异化工业高载能负荷进行需求响应是需求侧参与电网灵活互动的重要途径,尤其是对于高比例可再生能源的系统具有重要意义。该文首先介绍了差异化工业高载能负荷的基本概念,并对三种典型工业高载能负荷进行了灵活性分析;其次探讨了差异化工业高载能负荷优化调度方法的主要目标及在市场层面的实施情况;然后介绍了三种典型工业高载能负荷的优化调度模型,并对求解算法、求解器的研究现状进行了评述;最后,总结了目前差异化工业高载能负荷灵活性挖掘研究中的挑战,并对未来的研究方向进行了展望。With the global rise in new energy generation,power systems increasingly face challenges in accommodating a high share of renewable sources.The intermittent nature of renewables like wind and solar presents significant difficulties for grid stability and reliability.Stimulating the demand response flexibility of industrial energy-intensive loads has become crucial for effectively integrating these renewables.By scheduling these loads based on new energy output and system supply-demand dynamics,the grid's capacity to absorb renewable energy and maintain operational stability is enhanced.Differentiated industrial energy-intensive loads are defined,and a comprehensive flexibility analysis is conducted on three typical types:cement plants,aluminum electrolysis plants,and refineries.These industries consume substantial electrical energy and possess varying degrees of operational flexibility suitable for demand response.Their optimization scheduling objectives—such as minimizing operational costs,reducing peak demand,and improving energy efficiency—are explored,along with their market participation characteristics,including responsiveness to price signals and provision of ancillary services.Scheduling models for these industrial loads are introduced,considering specific operational constraints,production requirements,and flexibility potentials.For example,the cement plant model accounts for kiln thermal characteristics and clinker storage capacity,while the aluminum electrolysis model addresses electrolytic cell sensitivity to power interruptions.The refinery model incorporates processing unit complexities and product demands.Existing solution algorithms and solvers are analyzed,discussing the pros and cons of traditional optimization methods,heuristic algorithms,and their applicability in solving these models.The application challenges and future development directions of these loads in power systems are summarized.Emphasis is placed on designing effective incentive mechanisms—such as dynamic pricing and financi
关 键 词:差异化工业高载能负荷 灵活性分析 优化调度方法 求解算法
分 类 号:TM73[电气工程—电力系统及自动化]
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