Optimized scheduling of integrated energy systems for low carbon economy considering carbon transaction costs

IF 1.9 Q4 ENERGY & FUELS Global Energy Interconnection Pub Date : 2024-08-01 DOI:10.1016/j.gloei.2024.08.010
Chao Liu , Weiru Wang , Jing Li , Xinyuan Liu , Yongning Chi
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Abstract

With the introduction of the “dual carbon” goal and the continuous promotion of low-carbon development, the integrated energy system (IES) has gradually become an effective way to save energy and reduce emissions. This study proposes a low-carbon economic optimization scheduling model for an IES that considers carbon trading costs. With the goal of minimizing the total operating cost of the IES and considering the transferable and curtailable characteristics of the electric and thermal flexible loads, an optimal scheduling model of the IES that considers the cost of carbon trading and flexible loads on the user side was established. The role of flexible loads in improving the economy of an energy system was investigated using examples, and the rationality and effectiveness of the study were verified through a comparative analysis of different scenarios. The results showed that the total cost of the system in different scenarios was reduced by 18.04%, 9.1%, 3.35%, and 7.03%, respectively, whereas the total carbon emissions of the system were reduced by 65.28%, 20.63%, 3.85%, and 18.03%, respectively, when the carbon trading cost and demand-side flexible electric and thermal load responses were considered simultaneously. Flexible electrical and thermal loads did not have the same impact on the system performance. In the analyzed case, the total cost and carbon emissions of the system when only the flexible electrical load response was considered were lower than those when only the flexible thermal load response was taken into account. Photovoltaics have an excess of carbon trading credits and can profit from selling them, whereas other devices have an excess of carbon trading and need to buy carbon credits.

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考虑碳交易成本的低碳经济综合能源系统优化调度
随着 "双碳 "目标的提出和低碳发展的不断推进,综合能源系统(IES)逐渐成为节能减排的有效途径。本研究提出了一种考虑碳交易成本的综合能源系统低碳经济优化调度模型。以 IES 总运行成本最小化为目标,考虑电力和热力柔性负荷的可转移性和可缩减性,建立了考虑碳交易成本和用户侧柔性负荷的 IES 优化调度模型。通过实例研究了灵活负荷在提高能源系统经济性方面的作用,并通过对不同方案的对比分析验证了研究的合理性和有效性。结果表明,在同时考虑碳交易成本和需求侧柔性电力和热力负荷响应的情况下,不同情景下系统的总成本分别降低了 18.04%、9.1%、3.35% 和 7.03%,而系统的总碳排放量分别降低了 65.28%、20.63%、3.85% 和 18.03%。灵活的电力和热负荷对系统性能的影响并不相同。在分析的案例中,只考虑柔性电力负荷响应时的系统总成本和碳排放量低于只考虑柔性热负荷响应时的总成本和碳排放量。光伏发电的碳交易额度过剩,可以通过出售碳交易额度获利,而其他设备的碳交易额度过剩,需要购买碳交易额度。
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来源期刊
Global Energy Interconnection
Global Energy Interconnection Engineering-Automotive Engineering
CiteScore
5.70
自引率
0.00%
发文量
985
审稿时长
15 weeks
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