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计及电转燃料的虚拟电厂多能协同优化模型

The Multi-Energy Synergistic Optimization Model of Virtual Power Plant Considering Power-to-Fuel

  • 摘要:
    目的 为解决在“双碳”战略目标下新型电力系统建设的问题,文章探讨通过碳捕集和电解氢技术实现燃料合成,研究虚拟电厂与电转燃料技术的有效结合,从而促进大规模新能源消纳并降低二氧化碳排放,实现低碳能源的可持续发展。
    方法 文章建立了考虑电转燃料的虚拟电厂多能协同优化模型。首先,介绍了电转燃料的类型及其相关技术原理,并对相应装置进行了建模;其次,确定了虚拟电厂集电、热、氢、燃料及二氧化碳于一体的多能互补结构和运行方式;然后,在不同碳价机制下构建虚拟电厂协同优化模型。
    结果 通过对不同场景进行仿真对比,验证了所建模型的可行性,算例结果表明,考虑电转甲醇的虚拟电厂相较于考虑电转甲烷的虚拟电厂在提升经济性和环境效益方面具有显著优势。
    结论 文章为实现“双碳”目标及分布式能源消纳背景下的虚拟电厂建设提供了理论指导。

     

    Abstract:
    Objective In order to solve the problem of the construction of a new power system under the dual carbon strategic goal, this paper discusses the realization of fuel synthesis through carbon capture and hydrogen electrolysis technology, and studies the effective combination of virtual power plant and power-to-fuel technology, so as to promote large-scale new energy consumption and reduce carbon dioxide emissions, and realize the sustainable development of low-carbon energy.
    Method To solve this problem, a multi-energy collaborative optimization model of virtual power plant considering power-to-fuel was established. Firstly, the types of power-to-fuel and their related technical principles are introduced, and the corresponding devices were modeled. Secondly, the multi-energy complementary structure and operation mode of the virtual power plant integrating electricity, heat, hydrogen, fuel and carbon dioxide were determined. Then, a collaborative optimization model of virtual power plant was constructed under different carbon price mechanisms.
    Result The feasibility of the proposed model is verified by simulation and comparison of different scenarios, and the results show that the virtual power plant considering power-to-methanol has significant advantages in improving economic and environmental benefits compared with the virtual power plant considering power-to-methane.
    Conclusion This paper provides theoretical guidance for the construction of virtual power plants in the context of achieving the dual carbon goals and distributed energy consumption.

     

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