考虑能量梯级利用的风氢综合能源系统多目标优化配置OA北大核心CSTPCD
Multi-Objective Optimization of Wind-Hydrogen Integrated Energy Systems with Energy Cascade Utilization
为提高新能源渗透率、拓宽绿氢生产利用途径、实现综合能源系统多能联供低碳经济化运行,提出包含电制氢(power to hydrogen,P2H)技术的风-氢多元储能系统(wind-hydrogen multi-energy storage,WHMES),建立综合能源系统多目标优化配置模型及两阶段能量梯级利用运行控制策略,将某系统中全年风电及负荷聚合为 3 类典型场景,以经济、能源供应、碳排放 3 个方面作为优化目标,采用基于分解的多目标进化算法进行求解,在得到的一系列非劣解集中,利用模糊隶属度函数从中权衡筛选出最优配置方案.算例结果验证了所提模型与方法的科学性与有效性,并在不同典型日场景下都具有良好的环保性和供能可靠性,为含风氢耦合的综合能源系统优化配置提供参考.
To enhance the adoption of new energy sources,expand green hydrogen production and use,and achieve low-carbon,cost-effective operation in multi-energy cogeneration systems,this study proposes a wind-hydrogen multi-energy storage(WHMES)system that incorporates power-to-hydrogen(P2H)technology.A multi-objective optimization model for the integrated energy system and a two-stage energy cascade utilization control strategy are developed.The annual wind power and load data are categorized into three typical scenarios,with the optimization goals focused on economy,energy supply,and carbon emissions.The problem is addressed using a decomposition-based multi-objective evolutionary algorithm.Among the resulting set of non-inferior solutions,a fuzzy membership function is applied to filter and select the optimal configuration.The results demonstrate the model's scientific validity and effectiveness,showing strong environmental protection and energy supply reliability across various typical daily scenarios.This provides a valuable reference for optimizing integrated energy systems with wind-hydrogen coupling.
李冠儒;孙亮;罗瑞;金博文;吴长鹏
现代电力系统仿真控制与绿色电能新技术教育部重点实验室(东北电力大学),吉林省吉林市 132000国网抚顺供电公司,辽宁省抚顺市 113000
动力与电气工程
电制氢(P2H)梯级利用综合能源多目标优化配置
power to hydrogen(P2H)cascade utilizationintegrated energymulti-objectiveoptimization configuration
《电力建设》 2024 (010)
1-12 / 12
This work is supported by National Natural Science Foundation of China(No.52377080). 国家自然科学基金项目(52377080)
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