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基于制氢设备精细建模的综合能源系统绿氢蓝氢协调低碳优化策略

Low-carbon Dispatching Strategy of Integrated Energy System With Coordination of Green Hydrogen and Blue Hydrogen Based on Fine Modeling of Hydrogen Production Equipment
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摘要 在“双碳”背景下,为了降低氢能利用成本及综合能源系统的碳排放,该文提出一种综合能源系统绿氢和蓝氢协调低碳优化策略。首先考虑电解水制氢和天然气制氢的经济和碳排放特性,分别引入绿氢和蓝氢产-储-用模块,并对绿氢制取设备的功率-效率动态特性、蓝氢制取中的能量转换过程进行精细化建模,实现不同类型氢能高效协调利用。其次,通过优化氢负荷供应中的绿氢和蓝氢比例,提升供氢灵活性。基于此,综合考虑碳交易、波动性风电制氢下的电解槽寿命损耗以及各设备的约束条件,以风电运行与弃风惩罚成本、购能成本、电解槽的寿命折损成本、蓝氢提纯成本及碳排放成本之和的总经济成本最小为目标,构建低碳经济调度模型。最后,通过算例分析验证了所提绿氢蓝氢协调优化策略的合理性。 Under the background of“dual carbon”,to reduce the cost of hydrogen energy utilization and carbon emissions,a low-carbon dispatching mode of green and blue hydrogen coordinated with the integrated energy system is proposed.Firstly,green hydrogen and blue hydrogen production-storage-use modules are introduced considering the economic and low-carbon complementarity between hydrogen production from electrolysis and natural gas.The power-efficiency dynamic characteristics of green hydrogen production equipment and the energy conversion process in blue hydrogen production are finely modeled to achieve efficient and coordinated utilization of different types of hydrogen energy.Secondly,increase hydrogen supply flexibility by optimizing the green and blue hydrogen ratio in the hydrogen load supply.Based on this,comprehensively considering the carbon trading mechanism,the life loss of the electrolyzer under fluctuating wind power and the constraints of each equipment,the economic dispatch model is constructed to minimize the total cost of the sum of wind power operation and wind curtailment penalty cost,energy purchase cost,electrolyzer life loss cost,blue hydrogen purification cost and carbon trading cost.Finally,an example analysis verifies the rationality of the proposed coordinated green and blue hydrogen optimization strategy.
作者 李志伟 赵雨泽 吴培 常园园 赵书强 LI Zhiwei;ZHAO Yuze;WU Pei;CHANG Yuanyuan;ZHAO Shuqiang(State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources(North China Electric Power University),Baoding 071003,Hebei Province,China;Big Data&Philosophy and Social Science Laboratory(North China Electric Power University),Baoding 071003,Hebei Province,China)
出处 《电网技术》 EI CSCD 北大核心 2024年第6期2317-2326,I0021,I0022,共12页 Power System Technology
基金 国家自然科学基金项目(52307098) 中央高校基本科研业务费专项资金资助项目(2023MS099)。
关键词 氢能利用 电解槽 天然气制氢 低碳调度 综合能源系统 hydrogen utilization electrolyzer natural gas to hydrogen low-carbon scheduling integrated energy system
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