Optimization strategy and capacity planning for coordinated operation of regional energy internet system based on sparrow search algorithm

References

• Abdelaziz, E. A., R. Saidur, and S. Mekhilef. 2011. A review on energy saving strategies in industrial sector. Renewable and Sustainable Energy Reviews 15:150–68. doi:10.1016/j.rser.2010.09.003.
   Web of Science ®Google Scholar
• Baraniak, J., and S. Jacek. 2019. Chargers for electric cars with V2G (vehicle to grid) technology connection principles for the distribution network. Przeglad Elektrotechniczny 95:228–32.
   Web of Science ®Google Scholar
• Broad air conditioning. Broad X type non electric air conditioning selection and design manual. http://www.broad.com/uploads/pdf/xxfiktxxsjsc.pdfˈ2014-11-27
   Google Scholar
• Cao, Y., and H. Y. Hao. 2020. Research on energy efficiency optimization of energy internet data center based on intelligent energy technology. Journal of Physics. Conference Series 1606.
   Google Scholar
• Di Somma, M., B. Yan, N. Bianco, G. Graditi, P. B. Luh, L. Mongibello, and V. Naso. 2015. Operation optimization of a distributed energy system considering energy costs and exergy efficiency. Energy Conversion and Management 103:739–51. doi:10.1016/j.enconman.2015.07.009.
   Web of Science ®Google Scholar
• Fumo, N., and L. M. Chamra. 2010. Analysis of combined cooling, heating, and power systems based on source primary energy consumption. Applied Energy 87:2023–30. doi:10.1016/j.apenergy.2009.11.014.
   Web of Science ®Google Scholar
• Gregoratti, D., and J. Matamoros. 2015. Distributed energy trading: The multiple-microgrid case. IEEE Transactions on Industrial Electronics 62:2551–59. doi:10.1109/TIE.2014.2352592.
   Web of Science ®Google Scholar
• Guo, W. S., P. K. Liu, and X. L. Shu. 2021. Optimal dispatching of electric-thermal interconnected virtual power plant considering market trading mechanism. Journal of Cleaner Production 279.
   Web of Science ®Google Scholar
• Hasanuzzaman, M., N. A. Rahim, M. Hosenuzzaman, R. Saidur, I. M. Mahbubul, and M. M. Rashid. 2012. Energy savings in the combustion based process heating in industrial sector. Renewable and Sustainable Energy Reviews 16:4527–36. doi:10.1016/j.rser.2012.05.027.
   Web of Science ®Google Scholar
• Huang, A. Q., M. L. Crow, G. T. Heydt, J. P. Zheng, and S. J. Dale. 2011. The future renewable electric energy delivery and management (freedm) system: The energy internet. Proceedings of the IEEE 99:133–48.
   Web of Science ®Google Scholar
• Huang, W. J., N. Zhang, C. Q. Kang, M. X. Li, and M. L. Huo. 2019. From demand response to integrated demand response: Review and prospect of research and application. Protection and Control of Modern Power Systems 4.
   Google Scholar
• Hx, Z., and F. Magoulès. 2012. A review on the prediction of building energy consumption. Renewable and Sustainable Energy Reviews 16:3586–92. doi:10.1016/j.rser.2012.02.049.
   Web of Science ®Google Scholar
• J Rifkin. 2011. The third industrial revolution: How lateral power is transforming energy, the economy, and the world. New York: Palgrave MacMillan.
   Google Scholar
• Jia, D., J. Sun, C. Wang, X. Hong, X. Ma, W. Xiong, and Y. Shen. Multi-energy coordinated evaluation for energy internet.
   Google Scholar
• Liu, D., M. A. Hengrui, B. Wang, W. Gao, J. Wang, and B. Yan. 2018. Operation optimization of regional integrated energy system with cchp and energy storage system. Automation of Electric Power Systems.
   Google Scholar
• Liu, D., X. D. Yuan, Q. Li, and H. W. Yao. 2016. Design of a hierarchical infrastructure for regional energy internet. International Conference on Electric Utility Deregulation & Restructuring & Power Technologies IEEE.
   Google Scholar
• Ma, Y. J., X. Wang, X. S. Zhou, Z. Q. Gao, Y. J. Wu, J. L. Yin, and X. N. Xu. 2016. An overview of energy internet. Chinese Control and Decision Conference (CCDC) 6212–15. doi:10.1109/CCDC.2016.7532115.
   Google Scholar
• Qin, G. Y., M. J. Zhang, Q. Y. Yan, C. B. Xu, and D. M. Kammen. 2021. Comprehensive evaluation of regional energy internet using a fuzzy analytic hierarchy process based on cloud model: A case in China. Energy 228.
   Google Scholar
• Rifkin, J. 2011. The third industrial revolution: How lateral power is transform-ing energy. The Economy, and the World 2:67–68.
   Google Scholar
• Tsoukalas, L. H., and R. Gao. 2008. From smart grids to an energy internet: Assumptions, architectures and requirements. International Conference on Electric Utility Deregulation & Restructuring & Power Technologies, p. 94–98.
   Google Scholar
• Wang, D., D. Zhong, and A. Souri. 2021. Energy management solutions in the internet of things applications: Technical analysis and new research directions. Cognitive Systems Research 67:33–49. doi:10.1016/j.cogsys.2020.12.009.
   Web of Science ®Google Scholar
• Xue, J. K., and B. Shen. 2020. A novel swarm intelligence optimization approach: Sparrow search algorithm. Systems Science & Control Engineering 8:22–34. doi:10.1080/21642583.2019.1708830.
   Web of Science ®Google Scholar
• Zhang, H. G., Y. S. Li, D. W. Gao, and J. Zhou. 2017. Distributed optimal energy management for energy internet. IEEE Transactions on Industrial Informatics 13:3081–97. doi:10.1109/TII.2017.2714199.
   Web of Science ®Google Scholar
• Zhou, K. L., S. L. Yang, and Z. Shao. 2016. Energy internet: The business perspective. Applied Energy 178:212–22. doi:10.1016/j.apenergy.2016.06.052.
   Web of Science ®Google Scholar