朱爱华,孙志权,卢巍,陈万芹,孙子轶,宋智星,梁睿
ZHU Aihua,SUN Zhiquan,LU Wei,CHEN Wanqin,SUN Ziyi,SONG Zhixing,LIANG Rui

• 1:江苏省东辛农场有限公司
• 2:中国矿业大学电气工程学院

摘要(Abstract)：

能源系统面临着能源利用率低、碳排放量高和能源转型等诸多问题，乡村综合能源系统在解决上述问题方面发挥了重要作用。基于此，提出一种乡村多区域能源系统协同低碳经济调度策略。首先，建立新型乡村多区域综合能源系统架构，分析多区域能源系统间的协同互补机理，并建立物质、能量及碳交易模型。其次，对厌氧发酵过程中的热负荷进行精确建模，建立变温发酵模型，同时考虑含有碳配额和碳交易的优化机制，以降低碳排放。最后，基于纳什谈判理论，建立多区域能源系统合作运行模型，采用交替方向乘子法进行分布式求解，从而有效保护各主体隐私。仿真结果表明，采用所提策略后，能源系统整体运行成本下降16.9%，碳排放量降低7.5%，验证了该策略的有效性。
Energy systems face several challenges, including low energy utilization efficiency, high carbon emissions, and energy transitions. Integrated energy systems(IES) in rural areas play a significant role in addressing these issues. This paper proposes a coordinated low-carbon economic dispatch strategy for multi-regional rural energy systems. First, a novel architecture for multi-regional rural IES is established, analyzing the collaborative and complementary mechanisms among regions. Models for mass, energy, and carbon trading are then developed. Next, the thermal load in the anaerobic fermentation process is accurately modeled, and a variable-temperature fermentation model is constructed. An optimization mechanism that incorporates carbon quotas and carbon trading is also introduced to reduce carbon emissions. Finally, a cooperative operation model for multi-regional energy systems is developed based on Nash bargaining theory, and the alternating direction method of multipliers(ADMM) is applied for distributed solving, effectively preserving the privacy of individual entities. Simulation results indicate that the proposed strategy reduces the overall operational cost of the energy system by 16.9% and decreases carbon emissions by 7.5%, demonstrating its effectiveness.

关键词(KeyWords)： 综合能源系统;碳交易机制;纳什谈判;交替方向乘子法
IES;carbon trading mechanisms;Nash bargaining;ADMM

Abstract:

Keywords:

基金项目(Foundation): 江苏省碳达峰碳中和科技创新专项（BE2022609）

作者(Author): 朱爱华,孙志权,卢巍,陈万芹,孙子轶,宋智星,梁睿
ZHU Aihua,SUN Zhiquan,LU Wei,CHEN Wanqin,SUN Ziyi,SONG Zhixing,LIANG Rui

DOI: 10.19585/j.zjdl.202504007

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