
1.可再生能源发电与并网技术自治区重点实验室(新疆大学),新疆维吾尔自治区 乌鲁木齐市 830017
2.国网新疆电力有限公司电力科学研究院,新疆维吾尔自治区 乌鲁木齐市 830011
Received:14 May 2024,
Revised:2024-08-30,
Published:30 April 2025
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马恺,袁至,李骥.考虑氢能多元化利用的综合能源系统低碳经济调度[J].发电技术,2025,46(02):263-273.
MA Kai,YUAN Zhi,LI Ji.Low-Carbon Economic Scheduling of Integrated Energy System Considering Diversified Utilization of Hydrogen Energy[J].Power Generation Technology,2025,46(02):263-273.
马恺,袁至,李骥.考虑氢能多元化利用的综合能源系统低碳经济调度[J].发电技术,2025,46(02):263-273. DOI: 10.12096/j.2096-4528.pgt.24087.
MA Kai,YUAN Zhi,LI Ji.Low-Carbon Economic Scheduling of Integrated Energy System Considering Diversified Utilization of Hydrogen Energy[J].Power Generation Technology,2025,46(02):263-273. DOI: 10.12096/j.2096-4528.pgt.24087.
目的
2
在“双碳”背景下,实现综合能源系统(integrated energy system,IES)的低碳经济运行尤为重要,然而,考虑电转气(power to gas,P2G)设备的综合能源系统往往忽略了产氢过程中的能量损失。为此,构建了一种考虑氢能多元化利用的IES日前低碳经济调度模型。
方法
2
首先,建立了以碳捕集电厂、P2G为主要能源耦合设备的跨区级IES数学模型。其次,考虑到氢能的清洁、高效性,构建了掺氢热电联产以及含P2G、氢燃料电池、储氢罐的数学模型,并且为避免能量的浪费,在P2G设备两阶段转化过程中加入热回收装置。再次,建立需求响应与绿证-碳交易机制的数学模型,并将其引入系统低碳经济调度中。最后,以绿证交易、碳交易、燃煤和购电、购气成本之和最小为优化目标进行求解。
结果
2
所提模型使系统总成本下降55%,并且实现了风电全额消纳。
结论
2
此调度模型有效缓解了系统运行中能量损失的问题,使综合能源系统的低碳经济性得到了大幅提高。
Objectives
2
In the context of “dual-carbon” goals
achieving low-carbon economic operation of integrated energy system (IES) is of paramount importance. However
existing IES models incorporating power-to-gas (P2G) technology often overlook energy losses during hydrogen production. To address this issue
this study proposes a day-ahead low-carbon economic scheduling model for an IES that considers diversified utilization of hydrogen energy.
Methods
2
First
a mathematical model of a cross-regional IES is established
with carbon capture power plants and P2G as the main energy coupling technologies. Second
given the clean and efficient nature of hydrogen energy
mathematical models are developed for hydrogen-blended combined heat and power generation
P2G systems
hydrogen fuel cells
and hydrogen storage tanks. To avoid energy waste
a heat recovery device is integrated into the two-stage conversion process of P2G. Third
a mathematical model for demand response and green certificate-carbon trading mechanism is established and incorporated into the system’s low-carbon economic scheduling strategy. Finally
the optimization objective is set to minimize the total cost
including expenses on green certificate trading
carbon trading
coal-fired power generation
electricity procurement
and natural gas purchases.
Results
2
The proposed model reduces the total system cost by 55% and achieves the full utilization of wind power.
Conclusions
2
This scheduling model effectively mitigates energy losses during system operation and significantly enhances the low-carbon economic efficiency of IES.
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