考虑碳捕集技术的虚拟电厂热电联合优化

赵泽明,刘敏

分布式能源 ›› 2023, Vol. 8 ›› Issue (1) : 30-38.

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PDF(1782 KB)
分布式能源 ›› 2023, Vol. 8 ›› Issue (1) : 30-38. DOI: 10.16513/j.2096-2185.DE.2308104
学术研究

考虑碳捕集技术的虚拟电厂热电联合优化

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Combined Heat and Power Optimization for Virtual Power Plants Considering Carbon Capture Technologies

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文章历史 +

摘要

碳捕集技术作为电力系统低碳转型的关键技术,应用到热电联合系统可降低虚拟电厂的碳排放。为此,提出将碳捕集技术应用至虚拟电厂热电联合优化的技术路线,以促使其低碳经济运行。一方面,依托阶梯碳交易机制、需求响应和电热之间的互转,以减少虚拟电厂热电联合运行的碳排放;另一方面,以虚拟电厂运行成本最小为目标,综合考虑负荷调节潜力、新能源出力上限等虚拟电厂内部约束,以及电热碳互转的物理约束,以提高虚拟电厂运行经济性。基于某园区实况运行数据,围绕是否配置碳捕集技术和需求响应来设计对照场景,验证了所提虚拟电厂热电联合优化模型具有一定的现实可用性和鲁棒性。

Abstract

As a key technology for low carbon transformation of power system, carbon capture technology applied to combined heat and power system can reduce carbon emissions of virtual power plants. To this end, a technical route that applies carbon capture technology to the combined heat and power optimization of virtual power plants is proposed to promote their low carbon economic operation. On the one hand, it relies on the ladder carbon trading mechanism, demand response and power-heat interconversion to reduce the carbon emissions of combined heat and power operation of the virtual power plant; On the other hand, it aims to minimize the operating cost of the virtual power plant, taking into account the internal constraints of the virtual power plant such as load regulation potential and the upper limit of new energy output, as well as the physical constraints of power-heat-carbon interconversion to improve the operating economy of the virtual power plant. Based on the actual operating data of a park, a control scenario is designed around whether to configure carbon capture technology and demand response, and the proposed virtual power plant combined heat and power optimization model is verified to have certain realistic availability and robustness.

关键词

虚拟电厂 / 碳捕集技术 / 热电联合优化 / 低碳经济 / 需求响应 / 碳交易机制

Key words

virtual power plant / carbon capture technology / combined heat and power optimization / low carbon economy / demand response / carbon trading mechanism

引用本文

导出引用
赵泽明, 刘敏. 考虑碳捕集技术的虚拟电厂热电联合优化[J]. 分布式能源. 2023, 8(1): 30-38 https://doi.org/10.16513/j.2096-2185.DE.2308104
Zeming ZHAO, Min LIU. Combined Heat and Power Optimization for Virtual Power Plants Considering Carbon Capture Technologies[J]. Distributed Energy Resources. 2023, 8(1): 30-38 https://doi.org/10.16513/j.2096-2185.DE.2308104
中图分类号: TK01;TM71   

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基金

贵州省科技计划项目(黔科合支撑[2021]一般409)

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