首页|考虑风电制氢的IES储能容量双层优化

考虑风电制氢的IES储能容量双层优化

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风力发电存在随机性,为促进风电消纳,提升风氢储系统的经济性和环保性.设计了考虑风电制氢的综合能源系统.通过上层改进粒子群算法(PSO),下层混合整数线性规划(MILP),建立储氢容量配置双层优化模型,基于两类目标分别求解最优储氢容量.仿真结果表明,所提出的方法具有降低成本、减少碳排放的作用,为氢能发展和应用提供了新思路.
Double Layer Optimization of IES Energy Storage Capacity Considering Hydrogen Production by Wind Power
Wind power generation has randomness.In order to promote wind power consumption and improve the economy and environmental friendliness of wind power hydrogen storage systems,a comprehensive energy system considering wind power hydrogen production was designed.By improving the particle swarm optimization algorithm in the upper layer and using mixed integer linear programming in the lower layer,a two-layer optimization model for hydrogen storage capacity configuration was established;based on two types of objectives,the optimal hydrogen storage capacity was calculated separately.The simulation results show that the proposed method has the effect of reducing costs and carbon emissions,providing new ideas for the development and application of hydrogen energy.

integrated energy systemhydrogen production by wind powerparticle swarm optimization algorithmhybrid linear integer programmingcapacity allocation

金荣康、吕志鹏、张智慧、窦真兰、张春雁、韩丹

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上海电力大学电子与信息工程学院,上海 201306

国网上海能源互联网研究院有限公司,上海 201213

国网上海市电力公司,上海 200023

南京则鸣新能源技术有限公司,江苏南京 211505

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综合能源系统 风电制氢 粒子群算法 混合整数线性规划 容量配置

2024

电气自动化
上海电气自动化设计研究所有限公司 上海市自动化学会

电气自动化

CSTPCD
影响因子:0.377
ISSN:1000-3886
年,卷(期):2024.46(6)