Off-design optimal control of multistage compressed air energy storage system

被引：0
|
作者：
Ma X. [1 ]
Li K. [1 ]
Zhang C.-H. [1 ]
Sun Y.-X. [1 ]
机构：
[1] School of Control Science and Engineering, Shandong University, Jinan, 250061, Shandong
来源：
Kongzhi Lilun Yu Yingyong/Control Theory and Applications | 2019年 / 36卷 / 03期
基金：
中国国家自然科学基金;
关键词：
Compress air energy storage; Following the electric load (FEL); Following the thermal load (FTL); Optimal control; Variable working;
D O I：
10.7641/CTA.2018.80460
中图分类号：
学科分类号：
摘要：
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. © 2019, Editorial Department of Control Theory & Applications South China University of Technology. All right reserved.
引用
收藏
页码：436 / 442
页数：6
相关论文
共 19 条
  • [1] Lund H., Renewable energy strategies for sustainable development, Energy, 32, 6, pp. 912-919, (2007)
  • [2] Solangi K.H., Islam M.R., Saidur R., Et al., A review on global solar energy policy, Renewable & Sustainable Energy Reviews, 15, 4, pp. 2149-2163, (2011)
  • [3] Lai X., Cheng S., An analysis of prospects for application of large-scale energy storage technology in power systems, Automation of Electric Power Systems, 37, 1, pp. 3-8, (2013)
  • [4] Zhu R., Chen L., Mei S., Et al., Day-ahead strategic bidding for advanced adiabatic compressed air energy storage plant: a stackelberg game approach, Control Theory & Applications, 35, 5, pp. 662-667, (2018)
  • [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, 160, 10, pp. 290-308, (2018)
  • [6] Li Y., Wang X., Li D., Et al., A trigeneration system based on compressed air and thermal energy storage, Applied Energy, 99, 6, pp. 316-323, (2012)
  • [7] Jubeh N.M., Najjar Y.S.H., Green solution for power generation by adoption of adiabatic CAES system, Applied Thermal Engineering, 44, 44, pp. 85-89, (2012)
  • [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, 170, 3, pp. 250-268, (2016)
  • [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, 143, 1, pp. 772-784, (2018)
  • [10] Zhang Y., Yang K., Li X., 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, 28, 2, pp. 134-138, (2013)
12