高级检索

    考虑生物质混燃碳捕集与低碳激励机制的虚拟电厂优化调度

    Optimized Scheduling of Virtual Power Plant Considering Coal-biomass Co-firing Carbon Capture and Low Carbon Incentive Mechanism

    • 摘要: 针对传统燃煤机组的高碳排放问题,应用生物质混燃碳捕集技术对燃煤热电机组进行低碳改造,实现源侧的深度降碳,建立了生物质混燃碳捕集热电机组的模型,同时为充分挖掘荷侧的碳减排空间,提出了一种基于低碳激励机制的需求响应策略。在此基础上,构建了考虑生物质混燃碳捕集与低碳激励机制的虚拟电厂优化调度模型。最终以虚拟电厂总运行成本最小为优化目标,设置5种场景并进行了仿真对比分析。结果表明:所提出的虚拟电厂优化调度方案可实现源荷协同降碳,有效促进新能源的消纳,降低虚拟电厂总运行成本。

       

      Abstract: Aiming at the high carbon emission of traditional coal-fired units, coal-biomass co-firing carbon capture technology was applied to retrofit coal-fired thermal power units for low-carbon conversion, and achieve deep carbon reduction for the source side. A model was established for coal-biomass co-firing carbon capture thermal power units. Meanwhile, to fully tap the carbon reduction potential of demand side, a demand response strategy based on a lowcarbon incentive mechanism was proposed. On this basis, an optimized scheduling model for a virtual power plant considering coal-biomass co-firing carbon capture and the lowcarbon incentive mechanism was constructed. Finally, aiming to minimize the total operating cost of the virtual power plant, simulation comparisons under five different scenarios were conducted. Results show that the proposed optimized scheduling scheme for the virtual power plant can achieve coordinated source-demand carbon reduction, effectively promote the integration of renewable energy, and reduce the total operating cost of the virtual power plant.

       

    /

    返回文章
    返回