中国电力 ›› 2023, Vol. 56 ›› Issue (9): 149-156.DOI: 10.11930/j.issn.1004-9649.202302063

• 电网 • 上一篇    下一篇

基于绿证-阶梯式碳交易交互的源荷互补调度优化

孟宇翔, 马刚, 李豪, 李伟康, 徐健玮, 李天宇   

  1. 南京师范大学 电气与自动化工程学院,江苏 南京 210046
  • 收稿日期:2023-02-20 修回日期:2023-08-07 发布日期:2023-09-20
  • 作者简介:孟宇翔(1999-),男,硕士研究生,从事综合能源系统优化调度研究,E-mail:221812056@njnu.edu.cn;马刚(1984-),男,博士,教授,从事新能源发电及并网、综合能源系统研究,E-mail:nnumg@njnu.edu.cn;李豪(1999-),男,硕士研究生,从事综合能源系统研究,E-mail:221812050@njnu.edu.cn;李伟康(2000-),男,硕士研究生,从事综合能源系统研究,E-mail:221812065@njnu.edu.cn;徐健玮(1999-),男,硕士研究生,从事综合能源系统优化调度研究,E-mail:211846039@njnu.edu.cn;李天宇(1999-),男,硕士研究生,从事综合能源系统研究,E-mail:221812075@njnu.edu.cn
  • 基金资助:
    江苏省重点研发计划资助项目(BE2020081-4)

Optimal Scheduling of Source-Load Complementation Based on Green Certificate-Step Carbon Trading Interaction

MENG Yuxiang, MA Gang, LI Hao, LI Weikang, XU Jianwei, LI Tianyu   

  1. College of Electrical and Automatic Engineering, Nanjing Normal University, Nanjing 210042, China
  • Received:2023-02-20 Revised:2023-08-07 Published:2023-09-20
  • Supported by:
    This work is supported by the Key Research and Development Program of Jiangsu Province (No.BE2020081-4)

摘要: 针对多能耦合的区域综合能源系统的低碳经济运行问题,提出基于绿证-阶梯式碳交易交互的源荷互补优化调度模型。首先,通过引入绿证-阶梯式碳交易交互机制来提高源侧可再生能源的消纳水平和降低系统碳排放量;其次,在负荷侧引入考虑用户满意度的激励型需求响应和调峰收益来实现热电负荷的“削峰填谷”;最后,以日运行成本最小化为目标,采用Cplex求解器对模型进行求解。算例结果表明:绿证-阶梯式碳交易交互机制有助于充分发挥激励型需求响应的优化能力,提高源侧可再生能源的消纳能力,实现源荷侧协同降碳,降低系统运行成本,有效提高系统运行的绿色性、低碳性和经济性。

关键词: 源荷互补, 绿色电力证书, 阶梯式碳交易, 交互机制

Abstract: Aiming at the low-carbon economic operation of regional integrated energy systems (RIES) coupled with multi-energy, a source-load complementary optimal scheduling model is proposed based on green certificate-step carbon trading interaction. Firstly, a green certificate-step carbon trading interactive mechanism is introduced to improve the consumption level of source-side renewable energy and reduce system carbon emissions. Secondly, the incentive-based demand response and peak-shaving benefits with consideration of user satisfaction are introduced on the load side to realize “peak-shaving and valley-filling” of thermoelectric loads. Finally, with the goal of minimizing the running cost of RIES, the model is solved using the Cplex toolbox. The results of the case study show that the green certificate-step carbon trading interactive mechanism is helpful to give full play to the optimization ability of incentive demand response, realize the coordinated reduction of carbon at the source and load side, reduce the system operation cost, and effectively improve the green, low-carbon and economic operation of the system.

Key words: multi-source and load complementation, green power certificate, step carbon trading, interactive mechanism