| 引用本文: | 蔡杰,张松岩,杜治,杨东俊,方仍存,李姚旺,谢澄,苗世洪.含光热集热模块的先进绝热压缩空气储能系统容量配置策略[J].电力自动化设备,2020,40(7): |
| CAI Jie,ZHANG Songyan,DU Zhi,YANG Dongjun,FANG Rengcun,LI Yaowang,XIE Cheng,MIAO Shihong.Capacity allocation strategy of advanced adiabatic compressed air energy storage system with solar thermal collector module[J].Electric Power Automation Equipment,2020,40(7): |
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| 摘要: |
| 先进绝热压缩空气储能(AA-CAES)技术不但具有环境友好、成本低、容量大等优点，还拥有热电联储/联供的独特优势，并且能够与外接热源耦合运行。充分考虑AA-CAES电站的热电联储/联供特性，将光热集热模块作为AA-CAES系统的外部扩展热源，提出了光热集热模块耦合AA-CAES系统的优化规划模型。该模型除了计及影响光热集热模块各项实际运行效率的约束外，还综合考虑了AA-CAES电站的规划约束、运行约束以及AA-CAES电站备用出力约束等，并采用大M法对模型中的非线性项进行等价转换，将优化规划模型转化为能被常规商用优化求解器高效求解的混合整数线性规划模型。基于某地区的典型日数据和改进的IEEE 30节点系统进行算例仿真，仿真结果验证了所提模型的有效性。 |
| 关键词: 先进绝热压缩空气储能 太阳能辅热 光热集热模块 优化规划 容量配置 混合整数线性规划模型 |
| DOI：10.16081/j.epae.202007027 |
| 分类号:TM761;TK02 |
| 基金项目:国家重点研发计划项目(2017YFB0903601)；国家自然科学基金资助项目(51777088)；国网湖北省电力有限公司科技项目(SGHBJY00PSJS1900052) |
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| Capacity allocation strategy of advanced adiabatic compressed air energy storage system with solar thermal collector module |
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CAI Jie1, ZHANG Songyan2, DU Zhi1, YANG Dongjun1, FANG Rengcun1, LI Yaowang2, XIE Cheng3, MIAO Shihong2
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1.State Grid Hubei Electric Power Company Limited Economic Research Institute, Wuhan 430074, China;2.Hubei Electric Power Security and High Efficiency Key Laboratory, State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China;3.Fuzhou Power Supply Company of State Grid Fujian Electric Power Company Limited, Fuzhou 350009, China
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| Abstract: |
| AA-CAES(Advanced Adiabatic Compressed Air Energy Storage) technology not only has the advan-tages of environmental friendliness, low cost, large capacity and so on, but also has the unique advantages of co-generation and co-storage of heat and power, and can be coupled with external heat sources. Fully considering the characteristics of co-generation and co-storage of heat and power of AA-CAES power station, the solar thermal collector module is taken as the external extended heat source of the AA-CAES system, and the optimization planning model of the AA-CAES system coupled with solar thermal collector module is proposed. In addition to the constraints that affect the actual operation efficiency of solar thermal collector module, the planning constraints, operation constraints and standby output constraints of AA-CAES power station are also considered comprehensively. The nonlinear terms in the model are equivalently transformed by the large M method, and the optimization planning model is transformed into a mixed integer linear programming model, which can be efficiently solved by conventional commercial optimization solvers. Based on the typical daily data of a certain region and the modified IEEE 30-bus system, the simulative results verify the validity of the proposed model. |
| Key words: AA-CAES solar assisted heat solar thermal collector module optimization planning capacity alloca-tion mixed integer linear programming model |
