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文章摘要
计及电-碳价格相关性和氢储能的综合能源低碳经济调度
Integrated energy low-carbon economic dispatch considering electricity-carbon price correlation and hydrogen energy storage
Received:July 11, 2022  Revised:July 22, 2022
DOI:10.19753/j.issn1001-1390.2025.02.004
中文关键词: 相关性  电价  碳价  氢储能  Copula理论  综合能源
英文关键词: correlation, electricity price, carbon price, hydrogen energy storage, Copula theory, integrated energy
基金项目:国家自然科学基金资助项目(52007103) ; 湖北省科技重大专项项目(2020AEA012)
Author NameAffiliationE-mail
Huang Yuehua School of Electrical and New Energy, Three Gorges University hyh@ctgu.edu.cn 
Li Chen* School of Electrical and New Energy, Three Gorges University 1970378112@qq.com 
Chen Chen School of Electrical and New Energy, Three Gorges University 232780304@qq.com 
Yang Churui School of Electrical and New Energy, Three Gorges University 838527172@qq.com 
Guo Qianting Ningde Power Supply Company, State Grid Fujian Electric Power Co, Ltd 46056595@qq.com 
Lin Chenjie Ningde Power Supply Company, State Grid Fujian Electric Power Co, Ltd 3344120@qq.com 
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中文摘要:
      为提升双碳背景下综合能源中碳排放量和能源消耗的控制,减少弃风成本占比,文章建立了计及电-碳价格相关性和氢储能的综合能源系统低碳经济调度模型。首先,考虑到电价和碳价之间的波动和交互关系,根据欧氏距离确定Copula函数并求取秩相关系数,利用线性变换法对具有相关性的电碳价格数据模拟抽样;其次,引入氢储能来完善系统储能配置,以碳交易成本、外购能源成本和弃风成本最小化为目标建立综合能源优化调度模型,针对混合整数线性问题利用CPLEX求解;最后,通过不同场景对比分析验证了所提模型有效性。
英文摘要:
      In order to improve the control of carbon emissions and energy consumption in comprehensive energy under the dual-carbon background, and reduce the proportion of wind curtailment costs, this paper establishes a low-carbon economic dispatch model for comprehensive energy systems that takes into account the electricity-carbon price correlation and hydrogen energy storage. Firstly, considering the fluctuation and interaction between electricity price and carbon price, the Copula function is determined according to the Euclidean distance and the rank correlation coefficient is obtained, and the linear transformation method is used to simulate and sample the relevant electricity and carbon price data. Secondly, hydrogen energy storage is introduced to improve the system energy storage configuration, establish a comprehensive energy optimization scheduling model with the goal of minimizing carbon transaction costs, outsourced energy costs and wind curtailment costs, and CPLEX is used to solve mixed integer linear problems. Finally, the effectiveness of the proposed model is verified by comparative analysis of different scenarios.
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