摘要
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.
作者
尹斌鑫
苗世洪
李姚旺
张松岩
赵海彭
YIN Binxin;MIAO Shihong;LI Yaowang;ZHANG Songyan;ZHAO Haipeng(School of Electrical and Electronic Engineering,Huazhong University of Science and Technology,Wuhan 430074,China;State Key Laboratory of Advanced Electromagnetic Engineering and Technology(Huazhong University of Science and Technology),Wuhan 430074,China;Department of Electrical Engineering,Tsinghua University,Beijing 100084,China;Sichuan Energy Internet Research Institute,Tsinghua University,Chengdu 610213,China)
出处
《电力系统自动化》
EI
CSCD
北大核心
2023年第5期53-64,共12页
Automation of Electric Power Systems
基金
国家电网有限公司总部管理科技项目(5419-202199551A-0-5-ZN)。
关键词
压缩空气储能
混合储能
优化规划
运行
compressed air energy storage(CAES)
hybrid energy storage
optimal planning
operation
