References
Li J W, Wang X D, Zhang Z Y, et al. Analysis of a new design of the hybrid energy storage system used in the residential m-CHP systems. Appl Energ, 2017, 187: 169–179
Mei S W, Wang J J, Tian F, et al. Design and engineering implementation of non-supplementary fired compressed air energy storage system: TICC-500. Sci China Technol Sci, 2015, 58: 600–611
Zhao P, Wang M K, Wang J F, et al. A preliminary dynamic behaviors analysis of a hybrid energy storage system based on adiabatic compressed air energy storage and flywheel energy storage system for wind power application. Energy, 2015, 84: 825–839
Liu Z F, Chen Y X, Zhuo R Q, et al. Energy storage capacity optimization for autonomy microgrid considering CHP and EV scheduling. Appl Energ, 2018, 210: 1113–1125
Li J H, Wen J Y, Cheng S J, et al. Minimum energy storage for power system with high wind power penetration using p-efficient point theory. Sci China Inf Sci, 2014, 57: 128202
Budt M, Wolf D, Span R, et al. A review on compressed air energy storage: basic principles, past milestones and recent developments. Appl Energ, 2016, 170: 250–268
Kneiske T M, Braun M, Hidalgo-Rodriguez D I. A new combined control algorithm for PV-CHP hybrid systems. Appl Energ, 2018, 210: 964–973
Yan Y, Zhang C H, Li K, et al. An integrated design for hybrid combined cooling, heating and power system with compressed air energy storage. Appl Energ, 2018, 210: 1151–1166
Wang J J, Zhai Z J, Jing Y Y, et al. Particle swarm optimization for redundant building cooling heating and power system. Appl Energ, 2010, 87: 3668–3679
Acknowledgements
This work was supported by Projects of International Cooperation and Exchanges Supported by National Natural Science Foundation of China (Grant No. 61320106011), National Natural Science Foundation of China (Grant Nos. 61573223, 61733010), and Fundamental Research Funds of Shandong University (Grant No. 2018JC032).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Yan, Y., Zhang, C., Li, K. et al. Synergistic optimal operation for a combined cooling, heating and power system with hybrid energy storage. Sci. China Inf. Sci. 61, 110202 (2018). https://doi.org/10.1007/s11432-018-9544-6
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s11432-018-9544-6