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Optimal design for component capacity of integrated energy system based on the active dispatch mode of multiple energy storages

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  • Li, Haoran
  • Zhang, Chenghui
  • Sun, Bo

Abstract

The hourly cooperation of production units and storage units in integrated energy system (IES) improves its performance on energy generation and supply, but increases the complexity in the capacity design. Conventional methods are flawed in terms of inappropriate operation mode and inaccurate performance evaluation. To improve the reliability of IES design, this research adopts operation trajectory prediction, energy dispatch schedule, and real time correction into operation mode, as well as annual continuous active dispatch optimization into capacity design method. IES components are divided into production unit, storage unit, and backup units. The proposed operation mode operates storage units actively to shift peak demand and resist uncertainty. The proposed design method optimizes both the capacity and cooperation of all units through an annual continuous operation, which improves the stability and reliability of the system performance. Compared with conventional methods, IES designed by the proposed method reduces energy consumption by 2.22%, annual cost by 1.40%, and carbon emission by 3.87%. In addition, this IES presents stability and robustness under different renewable energy and customer demand uncertainties. The proposed operation mode and design method contribute to accurate and speedy optimization, and provide reliable suggestions and feedbacks for IES investment and management.

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  • Li, Haoran & Zhang, Chenghui & Sun, Bo, 2021. "Optimal design for component capacity of integrated energy system based on the active dispatch mode of multiple energy storages," Energy, Elsevier, vol. 227(C).
    • Handle: RePEc:eee:energy:v:227:y:2021:i:c:s0360544221007714
    DOI: 10.1016/j.energy.2021.120522
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    6. Mohammed M. Alhaider & Ziad M. Ali & Mostafa H. Mostafa & Shady H. E. Abdel Aleem, 2023. "Economic Viability of NaS Batteries for Optimal Microgrid Operation and Hosting Capacity Enhancement under Uncertain Conditions," Sustainability, MDPI, vol. 15(20), pages 1-24, October.
    7. Yin, WanJun & Ming, ZhengFeng & Wen, Tao, 2021. "Scheduling strategy of electric vehicle charging considering different requirements of grid and users," Energy, Elsevier, vol. 232(C).
    8. Fan, Guangyao & Liu, Zhijian & Liu, Xuan & Shi, Yaxin & Wu, Di & Guo, Jiacheng & Zhang, Shicong & Yang, Xinyan & Zhang, Yulong, 2022. "Two-layer collaborative optimization for a renewable energy system combining electricity storage, hydrogen storage, and heat storage," Energy, Elsevier, vol. 259(C).
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    10. Li, Haoran & Zhang, Chenghui & Sun, Bo, 2022. "Deep integration planning of sustainable energies in district energy system and distributed energy station," Renewable and Sustainable Energy Reviews, Elsevier, vol. 154(C).

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