A Low-Carbon Scheduling Strategy for Electricity-Heat-Hydrogen Integrated Energy Systems Considering Equivalent Energy Storage

LI Zhengxi, CHEN Laijun, ZHOU Wanpeng, CUI Sen, WANG Kai, LIU Hanchen

Distributed Energy ›› 2025, Vol. 10 ›› Issue (6) : 62-74.

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Distributed Energy ›› 2025, Vol. 10 ›› Issue (6) : 62-74. DOI: 10.16513/j.2096-2185.DE.25100349

A Low-Carbon Scheduling Strategy for Electricity-Heat-Hydrogen Integrated Energy Systems Considering Equivalent Energy Storage

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Abstract

To address the prominent issues of insufficient utilization of user-side flexibility resources and the low degree of energy coupling in park-level electricity-heat-hydrogen integrated energy systems,this paper proposes a low-carbon scheduling strategy incorporating the concept of equivalent energy storage. First,user-side adjustable resources are considered,and the dispersed regulation capabilities among multiple user-side entities are aggregated,thereby introducing the concept of equivalent energy storage(EES). Second,a multi-mode coordinated operation framework is established for park-level multi-energy systems,which integrates electrical energy storage,hydrogen energy storage,and hydrogen-blended gas combined heat and power units. This framework characterizes the coupling relationships of electricity-heat-hydrogen energy flows,while a stepwise carbon trading mechanism is introduced. Together with EES,user-side adjustable resources are aggregated to reduce the system’s dependence on high-carbon units. Finally,case studies are conducted to validate the effectiveness of the proposed strategy. The results demonstrate that,compared with the case without EES,the proposed method reduces the total operating cost of the system by 13.04% and achieves a 29.62% reduction in carbon emissions under the constraints

Key words

shared energy storage / hydrogen energy storage / integrated energy system / equivalent energy storage

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LI Zhengxi , CHEN Laijun , ZHOU Wanpeng , et al . A Low-Carbon Scheduling Strategy for Electricity-Heat-Hydrogen Integrated Energy Systems Considering Equivalent Energy Storage[J]. Distributed Energy Resources. 2025, 10(6): 62-74 https://doi.org/10.16513/j.2096-2185.DE.25100349

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Abstract
为深入探讨虚拟电厂在碳减排中的作用,实现低碳经济体系的有效运转,提出了一种考虑碳交易与需求响应的虚拟电厂低碳经济调度模型。首先,构建了虚拟电厂参与碳交易市场的模型,以约束其碳排放;其次,根据负荷需求响应的特性,分别建立了价格型和替代型需求响应模型;最后,设计了一个以最小化虚拟电厂总运行成本为目标的低碳经济调度模型。通过对4种情景结果进行对比分析,以验证该模型的有效性。此外,还考察了碳交易价格及需求响应参数变化对系统运行的影响。 研究结果表明:同时考虑碳交易与需求响应不仅能够显著降低系统总运行成本,还能减少实际碳排放量;系统总运行成本与碳交易价格呈正相关,而实际碳排放量则与之呈负相关;同时,需求响应参数的变化也会对运行成本和碳排放量产生一定影响。该模型在虚拟电厂调度过程中兼顾了系统运营的经济性与低碳性,实现了“削峰填谷”的效果,提升了系统运行灵活性。
GUO Kangzhuang, ZHAO Jun, LI Haibin, et al. Low carbon economic dispatch of virtual power plants considering carbon trading and demand response[J]. Distributed Energy, 2025, 10(2): 69-80.

In order to deeply explore the role of virtual power plant in carbon emission reduction and realize the effective operation of low carbon economy, a low carbon economic dispatch model of virtual power plants considering carbon trading and demand response is proposed. Firstly, a model of the virtual power plant participating in the carbon trading market is constructed to restrict its carbon emissions. Secondly, according to the characteristics of load demand response, price demand response model and alternative demand response model are established respectively. Finally, a low carbon economic dispatch model is designed to minimize the total operating cost of the virtual power plant. Through the comparative analysis of the results of the four scenarios, the effectiveness of the model is verified. In addition, the influence of carbon trading price and demand response parameters on system operation is investigated. The results show that considering carbon trading and demand response simultaneously can not only significantly reduce the total operating cost of the system, but also reduce the actual carbon emissions. The total operating cost of the system is positively correlated with the carbon trading price, while the actual carbon emissions are negatively correlated with it. At the same time, the change of demand response parameters will also have a certain impact on the operating cost and carbon emissions. In the process of virtual power plant scheduling, the model takes into account the economy and low carbon of system operation, realizes the effect of “peak clipping and valley filling”, and improves the flexibility of system operation.

Funding

National Natural Science Foundation of China(United Program)(U22A20224)
Science and Technology Project of State Grid Qinghai Electric Power Company(SGQHJY00NYJS2400276)
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