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1.华中科技大学电气与电子工程学院,湖北省武汉市 430074
2.强电磁工程与新技术国家重点实验室(华中科技大学),湖北省武汉市 430074
3.清华大学电机工程与应用电子技术系,北京市 100084
4.清华四川能源互联网研究院,四川省成都市 610213
Received:30 March 2022,
Revised:2022-09-26,
Published Online:18 November 2022,
Published:10 March 2023
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尹斌鑫,苗世洪,李姚旺等.集中-分布式混合压缩空气储能电站优化规划策略[J].电力系统自动化,2023,47(5):53-64.
YIN Binxin,MIAO Shihong,LI Yaowang,et al.Modeling and Planning Strategy for Centralized-Distributed Hybrid Compressed Air Energy Storage Station[J].Automation of Electric Power Systems,2023,47(5):53-64.
尹斌鑫,苗世洪,李姚旺等.集中-分布式混合压缩空气储能电站优化规划策略[J].电力系统自动化,2023,47(5):53-64. DOI: 10.7500/AEPS20220330006.
YIN Binxin,MIAO Shihong,LI Yaowang,et al.Modeling and Planning Strategy for Centralized-Distributed Hybrid Compressed Air Energy Storage Station[J].Automation of Electric Power Systems,2023,47(5):53-64. DOI: 10.7500/AEPS20220330006.
针对城镇配电网供电能力不足的问题,设计了一种集中-分布式混合压缩空气储能(CAES)电站的基本架构。该架构依托集中式先进绝热压缩空气储能(AA-CAES)电站建立分布式液态空气储能电站,可更有效地利用AA-CAES电站大规模储气室的优势,延展AA-CAES电站的功能。然后,建立了集中-分布式混合CAES电站的运行模型。该模型能准确描述混合CAES电站空气压缩、液化、贮存、运输、汽化、膨胀发电等过程中的能量流通、转化、存储和释放机理。基于混合CAES电站的运行模型,结合全寿命周期成本理论,建立了混合CAES电站的优化规划与运行模型。上述模型还包含扩建输电线路、增建燃气轮机、安装电池储能等备选方案的相关约束,以便对比安装混合CAES电站和其他方案的经济效益。最后,通过算例仿真验证了优化规划与运行模型的有效性。
Aiming at the problem of insufficient power supply capacity of urban distribution networks
this paper designs a basic architecture of centralized-distributed hybrid compressed air energy storage (CAES) station. This architecture relies on the centralized advanced adiabatic compressed air energy storage (AA-CAES) station to establish distributed liquid air energy storage stations
which can use the advantages of a large-scale storage chamber of the AA-CAES station more effectively and extend the functionality of the AA-CAES station. Then
the operation model of the centralized-distributed hybrid CAES station is established. The model can accurately describe the energy circulation
conversion
storage and release mechanism in the process of air compression
liquefaction
storage
transportation
gasification
expansion and power generation in a hybrid CAES station. Based on the operation model of the hybrid CAES stations
combined with the theory of life cycle cost
this paper establishes the optimal planning and operation model of the hybrid CAES stations. The model also contains the constraints on the options such as the expansion of transmission lines
additional gas turbines and the installation of battery energy storage
so as to compare the economic benefits of installing hybrid CAES stations and other options. Finally
the effectiveness of the optimal planning and operation model is verified by numerical case simulation.
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