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Optimal design of integrated energy system considering different battery operation strategy

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  • Wang, Yongli
  • Qi, Chengyuan
  • Dong, Huanran
  • Wang, Shuo
  • Wang, Xiaohai
  • Zeng, Ming
  • Zhu, Jinrong

Abstract

Integrated energy system (IES) models are considered effective tools to improve energy efficiency and reduce energy supply cost by integrating multiple energy carriers. Building complexes have electricity, heat and cold demands, and the use of IES can help meet these demands effectively. The type, capacity and operation strategy of battery energy storage systems (BESS) have a crucial influence on the planning results of IES. In this paper, the two operation strategies of BESS suitable for different scenarios are firstly introduced. Based on the two strategies of BESS, firstly the optimal planning model with the annual total cost of IES as the optimal objective has been established in detail. Secondly, the technical characteristics and economic parameters of different batteries are considered in the optimal planning of BESS. A hybrid energy system in a residential complex is taken as a case study to demonstrate the application of the proposed method. The simulation results show that the operation strategy is successfully conducted and the proposed method is economical and effective. In addition, the different strategies of BESS proposed could also provide support for the operation strategy of IES under the energy development.

Suggested Citation

  • Wang, Yongli & Qi, Chengyuan & Dong, Huanran & Wang, Shuo & Wang, Xiaohai & Zeng, Ming & Zhu, Jinrong, 2020. "Optimal design of integrated energy system considering different battery operation strategy," Energy, Elsevier, vol. 212(C).
    • Handle: RePEc:eee:energy:v:212:y:2020:i:c:s0360544220316455
    DOI: 10.1016/j.energy.2020.118537
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    6. Guo, Jiacheng & Liu, Zhijian & Li, Ying & Wu, Di & Liu, Xuan & Zhang, Shicong & Yang, Xinyan & Ge, Hua & Zhang, Peiwen, 2022. "Thermodynamic performance analyses and optimization design method of a novel distributed energy system coupled with hybrid-energy storage," Renewable Energy, Elsevier, vol. 182(C), pages 1182-1200.
    7. Wang, Yongli & Liu, Zhen & Cai, Chengcong & Xue, Lu & Ma, Yang & Shen, Hekun & Chen, Xin & Liu, Lin, 2022. "Research on the optimization method of integrated energy system operation with multi-subject game," Energy, Elsevier, vol. 245(C).
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    10. Alabi, Tobi Michael & Lu, Lin & Yang, Zaiyue, 2021. "A novel multi-objective stochastic risk co-optimization model of a zero-carbon multi-energy system (ZCMES) incorporating energy storage aging model and integrated demand response," Energy, Elsevier, vol. 226(C).

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