综合智慧能源 ›› 2025, Vol. 47 ›› Issue (5): 21-30.doi: 10.3969/j.issn.2097-0706.2025.05.003

• 电-碳-证市场耦合下系统优化 • 上一篇    下一篇

绿证-碳交易机制下考虑阶梯需求响应的区域综合能源系统优化调度

陈浩(), 马刚(), 钱达(), 马健(), 彭乐瑶()   

  1. 南京师范大学 电气与自动化工程学院,南京 210023
  • 收稿日期:2024-08-19 修回日期:2024-10-11 出版日期:2025-05-25
  • 作者简介:陈浩(2000),男,硕士生,从事综合能源系统优化调度方面的研究,3312266385@qq.com
    马刚(1984),男,教授,博士,从事新能源发电及入网技术、综合能源系统等方面的研究,nnumg2@njnu.edu.cn
    钱达(2001),男,硕士生,从事综合能源系统优化调度方面的研究,1459703922@qq.com
    马健(2001),男,硕士生,从事综合能源系统优化调度方面的研究,1622591825@qq.com
    彭乐瑶(2001),女,硕士生,从事综合能源系统优化调度方面的研究,1519393180@qq.com
  • 基金资助:
    江苏省碳达峰碳中和重点项目(BE2022003-5)

Optimization of regional integrated energy systems under green certificate and carbon trading mechanism considering tiered demand response

CHEN Hao(), MA Gang(), QIAN Da(), MA Jian(), PENG Leyao()   

  1. School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing 210023, China
  • Received:2024-08-19 Revised:2024-10-11 Published:2025-05-25
  • Supported by:
    Major Project of Carbon Peaking and Carbon Neutrality in Jiangsu(BE2022003-5)

摘要:

为促进区域综合能源系统低碳、经济运行,提出一种绿证-碳交易机制下考虑阶梯需求响应的综合能源系统低碳经济调度模型。在热电联产机组中引入碳捕集和电转气设备,构建热电联产机组、碳捕集和电转气设备的联合运行模型;分析碳排放权交易机制和绿色电力证书交易机制及两者的交互模型,并在用户负荷侧引入阶梯需求响应实现电、热、气负荷的削峰填谷;以一日内系统运行总成本为目标函数,设置多种算例场景进行分析,采用Gurobi求解器对所构建模型进行求解。算例结果表明,所提模型可以有效提高系统的低碳性和经济性,促进可再生能源机组出力并提高其消纳率,具有优良的调峰效果。

关键词: 区域综合能源系统, 可再生能源, 碳排放权交易, 绿色电力证书交易, 阶梯需求响应, 低碳, 调峰, 热电联产, 碳捕集

Abstract:

To promote low-carbon and cost-effective operations of regional integrated energy systems(RIES), a low-carbon economic dispatch model under green certificate and carbon trading mechanisms was proposed considering tiered demand response. Carbon capture and power-to-gas technologies were introduced into combined heat and power(CHP) units to establish an integrated operation model for CHP units, carbon capture systems, and power-to-gas equipment. The carbon and green certificate trading mechanisms and their interactive models were analyzed. Additionally, tiered demand response was employed on the user load side to achieve peak load shaving for electricity, heat, and gas loads. The system's total operating cost over a single day was set as the objective function, and various case scenarios were analyzed using the Gurobi solver. The results demonstrate that the proposed model effectively enhances the system's low-carbon performance and economic efficiency, facilitates the output and consumption of renewable energy units, and provides superior peak-shaving effects.

Key words: regional integrated energy system, renewable energy, carbon trading, green certificate trading, tiered demand response, low-carbon, peak-shaving, combined heat and power, carbon capture

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