多级压缩空气储能系统变工况的优化运行控制
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摘要
多级压缩空气储能系统以压缩空气储能及热存储技术为基础,具备冷、热、电多种能量存储及供给能力.针对多变复杂工况下系统热能合理分配问题,提出了一种多级压缩空气储能系统变工况优化运行控制策略.首先基于热力学方法分析,建立压缩空气储能系统模块化数学模型.其次根据系统负荷需求,在"以电定热"及"以热定电"两种工作模式下,分别以储热热量消耗量最小及输出电功最大为优化目标建立优化模型,求解得到不同工况下系统各部件运行参数,并以1 MW多级压缩空气储能系统为例,进行优化求解.该控制策略有效地解决了多级压缩空气储能系统在变工况下的内部能量调配、系统内部运行参数选取的问题,为实现系统高效运行提供有效途径.
The multistage compressed air energy storage system(MCAES) which is based on compressed air energy storage(CAES) and thermal energy storage(TES) technology, has a variety of energy storage and supply capabilities such as cold, heat and electricity. In this paper, aiming at the problem of reasonable heat distribution under multi-variable conditions, a control strategy for variable operating conditions of MCAES is proposed. Firstly, based on the analysis of thermodynamic methods, a modular mathematical model of MCAES is established. According to the system load demand,the optimization model is established with the minimum heat storage heat consumption and the maximum output power respectively under following the electric load(FEL) and following the thermal load(FTL) operation condition, and different solutions are obtained. Finally, a case of MCAES validated the effectiveness of this optimal method. This control strategy effectively solves the problem of internal energy allocation and internal system operating parameter selection of MCAES under variable operating conditions, and provides effective way to achieve efficient operation of system.
The multistage compressed air energy storage system(MCAES) which is based on compressed air energy storage(CAES) and thermal energy storage(TES) technology, has a variety of energy storage and supply capabilities such as cold, heat and electricity. In this paper, aiming at the problem of reasonable heat distribution under multi-variable conditions, a control strategy for variable operating conditions of MCAES is proposed. Firstly, based on the analysis of thermodynamic methods, a modular mathematical model of MCAES is established. According to the system load demand,the optimization model is established with the minimum heat storage heat consumption and the maximum output power respectively under following the electric load(FEL) and following the thermal load(FTL) operation condition, and different solutions are obtained. Finally, a case of MCAES validated the effectiveness of this optimal method. This control strategy effectively solves the problem of internal energy allocation and internal system operating parameter selection of MCAES under variable operating conditions, and provides effective way to achieve efficient operation of system.
引文
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[4]ZHU Rui,CHEN Laijun,MEI Shengwei,et al.Day-ahead strategic bidding for advanced adiabatic compressed air energy storage plant:a stackelberg game approach.Control Theory&Applications,2018,35(5):662-667.(李瑞,陈来军,梅生伟,等.先进绝热压缩空气储能电站日前电力市场主从博弈竞标策略.控制理论与应用,2018,35(5):662-667.)
[5]HAN Z H,GUO S C.Investigation of operation strategy of combined cooling,heating and power(CCHP)system based on advanced adiabatic compressed air energy storage.Energy,2018,160(10):290-308.
[6]LI Y,WANG X,LI D,et al.A trigeneration system based on compressed air and thermal energy storage.Applied Energy,2012,99(6):316-323.
[7]JUBEH N M,NAJJAR Y S H.Green solution for power generation by adoption of adiabatic CAES system.Applied Thermal Engineering,2012,44(44):85-89.
[8]BUDT M,WOLF D,SPAN R,et al.A review on compressed air energy storage:Basic principles,past milestones and recent developments.Applied Energy,2016,170(3):250-268.
[9]HUAN G,YU J X,HAI S C,et al.Correcponding-point methodology for physical energy storage system analysis and application to compressed air energy storage system.Energy,2018,143(1):772-784.
[10]ZHANG Yuan,YANG Ke,LI Xuemei,et al.Study on the characteristics of cold and heat output of advanced adiabatic compressed air energy storage.Journal of Engineering for Thermal Energy and Power,2013,28(2):134-138.(张远,杨科,李雪梅,等.先进绝热压缩空气储能的冷热电输出特性研究.热能动力工程,2013,28(2):134-138.)
[11]ZHANG Yuan,YANG Ke,LI Xuemei,et al.Combined cooling,heating and power system based on advanced adiabatic compressed air energy storage.Journal of Engineering for Thermal Energy and Power,2013,34(11):1991-1996.(张远,杨科,李雪梅,等.基于先进绝热压缩空气储能的冷热电联产系统.工程热物理学报,2013,34(11):1991-1996.)
[12]XUE Xiaodai,LIU Binhui,WANG Yuchen,et al.Micro energy network design for community based on compressed air energy storage.Proceedings of the CSEE,2016,36(12):3306-3313.(薛小代,刘彬卉,汪雨辰,等.基于压缩空气储能的社区微能源网设计.中国电机工程学报,2016,36(12):3306-3313.)
[13]LI Zhen.Research on energy management strategy of composite energy storage system including compressed air energy storage.Jinan:Shandong University,2017.(李珍.含压缩空气的复合储能系统能量管理策略研究.济南:山东大学,2017.)
[14]YANG K,ZHANG Y,LI X,et al.Theoretical evaluation on the impact of heat exchanger in advanced adiabatic compressed air energy storage system.Energy Conversion&Management,2014,86(10):1031-1044.
[15]LIU Bin,CHEN Laijun,MEI Shengwei,et al.Cycle efficiency evaluation method of multi-stage RCAES system.Advanced Technology of Electrical Engineering and Energy,2014,33(8):1-6.(刘斌,陈来军,梅生伟,等.多级回热式压缩空气储能系统效率评估方法.电工电能新技术,2014,33(8):1-6.)
[16]HE F,XU Y,ZHANG X,et al.Hybrid CCHP system combined with compressed air energy storage.International Journal of Energy Research,2015,39(13):1807-1818.
[17]FANG X,DAI Q.Modeling of turbine mass flow rate performances using the taylor expansion.Applied Thermal Engineering,2010,30(13):1824-1831.
[18]LIU Wenyi.Simulation ayalysis of thermal performance for compressed air energy storage(CAES)power plant.Shijiazhuang:North China Electric Power University,2008.(刘文毅.压缩空气蓄能(CAES)电站热力性能仿真分析.石家庄:华北电力大学,2008.)
[19]BRIOLA S,MARCO P D,GABBRIELLI R,et al.A novel mathematical model for the performance assessment of diabatic compressed air energy storage systems including the turbomachinery characteristic curves.Applied Energy,2016,178(9):758-772.