基于碳捕集/电转气/电动汽车协同的虚拟电厂优化调度

田永远, 刘 敏

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分布式能源 ›› 0 DOI: 10.16513/j.2096-2185.DE.25100298

基于碳捕集/电转气/电动汽车协同的虚拟电厂优化调度

  • 田永远,刘 敏
作者信息 +

Virtual Power Plant Optimal Scheduling Based on the Synergy of Carbon Capture,Electric-to-Gas Conversion and Electric Vehicles

  • TIAN Yongyaun, LIU Min
Author information +
文章历史 +

摘要

在“双碳”目标背景下,高比例可再生能源并网与化石能源依赖之间的矛盾日益突出。为协调低碳约束与能源安全,本文提出了一种基于碳捕集(CCS)、电转气(P2G)和电动汽车(EV)协同的虚拟电厂(VPP)优化调度模型。该模型通过聚合燃气轮机组、热电联产(CHP)、风电、光伏及EV等分布式资源,构建“减排-转化-效益”一体化框架:首先,利用CCS捕集CO₂;其次,通过CCS-P2G利用弃风弃光电能将二氧化碳转化为甲烷,消耗捕集的CO₂形成碳循环;最后,聚合EV参与碳市场交易,利用其产生的中国核证减排量(CCER)增加收益。基于 MATLAB/GUROBI的算例分析表明,相较于传统燃气-CHP 系统模型,本文所提模型可降低91. 3%碳排放(从2466. 9吨降至214. 34吨),降低50249. 30元的弃风弃光成本,提高可再生能源消纳率,并通过售卖CCER使VPP净成本降低了8208. 42元,最后总体来说降低了77562. 28元的VPP净成本。研究验证了多技术协同在提升VPP经济性与环境效益中的有效性,为新型电力系统低碳转型提供了理论支撑与实践路径。

Abstract

Under the background of the "dual carbon" goals, the contradiction between the high proportion of renewable energy grid connection and the reliance on fossil energy has become increasingly prominent. To coordinate low-carbon constraints with energy security, this paper proposes an optimized scheduling model for virtual power plants (VPP) based on the collaboration of carbon capture (CCS), electric-to-gas (P2G), and electric vehicles (EV). This model builds an integrated framework of "emission reduction - conversion - benefit" by aggregating distributed resources such as gas turbine units, combined heat and power (CHP), wind power, photovoltaic power and EVs: Firstly, CCS is used to capture CO ₂ ; Secondly, through CCS-P2G, carbon dioxide is converted into methane by utilizing the abandoned wind and photovoltaic energy, and the captured CO₂ is consumed to form a carbon cycle. Finally, aggregated EVs participate in carbon market transactions and increase their profits by using the China Certified Emission Reductions (CCER) they generate. The case analysis based on MATLAB/CPLEX shows that
compared with the traditional gas-CHP system model, the model proposed in this paper can reduce carbon emissions
by 91. 3% (from 2,466. 9 tons to 214. 34 tons), lower the cost of wind and solar power curtailage by 50,249. 30 yuan, and increase the consumption rate of renewable energy. And by selling CCER, the net cost of VPP was reduced by 8,208. 42 yuan. Ultimately, the overall net cost of VPP was reduced by 77,562. 28 yuan. The research verified the effectiveness of multi-technology collaboration in enhancing the economic and environmental benefits of VPP,providing theoretical support and practical paths for the low-carbon transformation of the new power system.

关键词

虚拟电厂 / 碳捕集 / 电转气 / 电动汽车 / 低碳调度 / 碳市场

Key words

Virtual power plant / Carbon capture / Electric-to-gas conversion / Electric vehicle / Low-carbon dispatching / Carbon market

引用本文

导出引用
田永远, 刘 敏.
基于碳捕集/电转气/电动汽车协同的虚拟电厂优化调度
[J]. 分布式能源. 0 https://doi.org/10.16513/j.2096-2185.DE.25100298
TIAN Yongyaun, LIU Min.
Virtual Power Plant Optimal Scheduling Based on the Synergy of Carbon Capture,Electric-to-Gas Conversion and Electric Vehicles
[J]. Distributed Energy Resources. 0 https://doi.org/10.16513/j.2096-2185.DE.25100298

基金

基金项目:贵州省科技计划项目(黔科合支撑[2021]一般409)。

基于碳捕集/电转气/电动汽车协同的虚拟电厂优化调度
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