含有机朗肯循环的虚拟电厂能源梯级优化低碳调度策略
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TM71

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国家自然科学基金资助项目(52167010);国家电网有限公司科技项目(52273023010C,W24FZ2730049)


A low-carbon dispatching strategy for energy cascade optimization of virtual power plants with organic Rankine cycle
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    摘要:

    为进一步提升考虑㶲效率的虚拟电厂调度的经济性和低碳性,提出一种考虑有机朗肯循环的虚拟电厂能源梯级优化低碳调度策略。首先,以提高热能“㶲”效率为目标,研究有机朗肯循环发电机理,建立其利用低品质余热出力的数学模型;其次,研究虚拟电厂中有机朗肯循环与电转气装置的耦合机理,建立考虑阶梯式碳交易的减碳引导模型,实现虚拟电厂热能梯级利用与低碳调度相耦合;然后,建立包含热电联供机组、燃气锅炉及气负荷的碳排放权模型,明确碳排放责任;最后,在荷侧建立包含电、热、气的多元负荷综合需求响应模型,并以虚拟电厂的总成本最低为优化目标,建立虚拟电厂能源梯级优化低碳调度模型。算例仿真表明,所提调度策略能有效提高虚拟电厂的能源利用率及低碳效益。

    Abstract:

    To enhance the economy and low-carbon of virtual power plant scheduling considering exergy efficiency, a cascade optimization low-carbon scheduling strategy of virtual power plant considering organic Rankine cycle is put forward. Firstly, with the goal of increasing exergy efficiency of heat energy, the mechanism of organic Rankine cycle power generation is studied and a mathematical model of utilization of low quality waste heat output is established. Secondly, the coupling mechanism of organic Rankine cycle and power-to-gas device in virtual power plant is studied, and a carbon reduction guidance model considering cascade carbon trading is established to realize the coupling of cascade utilization of thermal energy and low-carbon scheduling in virtual power plant. Then, the carbon emission right model including cogeneration unit, gas boiler and gas load is established to clarify the carbon emission responsibility. Finally, the multi-load comprehensive demand response model including electricity, heat and gas is established on the load side, and the low-carbon scheduling model of cascade optimization of virtual power plant energy is established with the minimum total cost of virtual power plant as the optimization goal. The simulation results show that the proposed scheduling strategy can improve the energy efficiency and low carbon efficiency of the virtual power plant.

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徐慧慧,赵宇洋,田云飞,彭婧,罗盛航,梁宁.含有机朗肯循环的虚拟电厂能源梯级优化低碳调度策略[J].电力工程技术,2025,44(5):208-217

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  • 收稿日期:2024-11-08
  • 最后修改日期:2025-01-19
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  • 在线发布日期: 2025-09-29
  • 出版日期: 2025-09-28
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