石研, 李文杰, 杨凤玖, 周秀林, 刘春明. 考虑碳责任分摊及需求响应的综合能源系统双层低碳优化调度[J]. 现代电力. DOI: 10.19725/j.cnki.1007-2322.2023.0216
引用本文: 石研, 李文杰, 杨凤玖, 周秀林, 刘春明. 考虑碳责任分摊及需求响应的综合能源系统双层低碳优化调度[J]. 现代电力. DOI: 10.19725/j.cnki.1007-2322.2023.0216
SHI Yan, LI Wenjie, YANG Fengjiu, ZHOU Xiulin, LIU Chunming. Two-layer Low-carbon Optimized Dispatching for Integrated Energy Systems Considering Carbon Liability Allocation and Demand Response[J]. Modern Electric Power. DOI: 10.19725/j.cnki.1007-2322.2023.0216
Citation: SHI Yan, LI Wenjie, YANG Fengjiu, ZHOU Xiulin, LIU Chunming. Two-layer Low-carbon Optimized Dispatching for Integrated Energy Systems Considering Carbon Liability Allocation and Demand Response[J]. Modern Electric Power. DOI: 10.19725/j.cnki.1007-2322.2023.0216

考虑碳责任分摊及需求响应的综合能源系统双层低碳优化调度

Two-layer Low-carbon Optimized Dispatching for Integrated Energy Systems Considering Carbon Liability Allocation and Demand Response

  • 摘要: 综合能源系统是加快实现“双碳”目标的主要承载平台。针对传统综合能源系统仅关注发电侧低碳调度而难以有效激发负荷侧减碳效能问题,提出碳责任分摊和需求响应协同增效的综合能源系统双层低碳经济优化调度模型。上层引入碳排放惩罚因子,以发电成本和碳排放惩罚成本最小为目标优化机组的低碳经济组合出力,同时基于碳流追踪理论将发电侧的直接碳排放量归算到碳排放驱动侧即各节点负荷;下层基于博弈理论,利用Shapley值法对负荷侧进行碳责任分摊并制定相应的阶梯碳价,以碳价和电价/热价共同引导负荷侧需求响应,使用户在保证用能成本的同时激发其减排潜力。在IEEE6节点电力网络和6节点热力网络耦合的综合能源系统进行算例仿真,结果表明所提双层优化调度模型能够保证源荷经济出力并引导用户主动响应并降低系统的碳排放量,实现低碳与经济的双赢。

     

    Abstract: The integrated energy system serves as the main platform to accelerate the implementation of the "double carbon" goal. In response to the issue that the traditional integrated energy system only focuses on low-carbon dispatching on the power generation side, facing challenges in effectively enhancing the carbon reduction efficiency on the load side, a two-layer low-carbon economy optimization dispatching model for integrated energy systems is proposed , incorporating carbon responsibility allocation and demand response synergy. The upper layer introduces the carbon emission penalty factor, aiming to optimize the low-carbon economic combination of power generation cost and carbon emission penalty cost. Meanwhile, based on the carbon flow tracking theory, the direct carbon emissions from the power generation side are attributed to the carbon emission driver side, i.e., each node load. On the other hand, the lower layer employs the Shapley value method to allocate the carbon responsibility of the load side and sets the corresponding carbon price based on the game theory, which enables both carbon price and electricity price to jointly guide demand response on the load side, so as to stimulate their emission reduction potential while ensuring energy cost. The results demonstrate the effectiveness of the proposed two-layer optimal dispatching model in ensuring the economic output of source and load and guiding users to actively respond and reduce the carbon emission of the system, achieving a win-win outcome of low carbon and economy.

     

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