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Multi-scenario optimization and performance evaluation of integrated energy system considering co-scheduling of EVs and stationary energy storage

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  • Zhang, Xiaofeng
  • Liu, Yuting
  • Zhan, Yu
  • Yan, Renshi
  • Mei, Jin
  • Fu, Ang
  • Jiao, Fan
  • Zeng, Rong

Abstract

As the mobile energy storage and load-side demand response device, energy dispatch potential of electric vehicles (EVs) in energy supply system is yet to be fully explored. This study presented a multi-energy incorporating integrated energy system (IES) with carbon capture system and power-to-gas for residential building and EVs, five optimal scheduling strategies considering EVs charging/discharging, co-dispatch of EVs and IES, and stationary battery characteristic are proposed. Optimization objectives, such as annual total cost (ATC), annual carbon emission (ACE) and total grid interaction (TGI), considering configuration and operation scheduling for IES under five scenarios can be determined through augmented ε-constraint and entropy weight-TOPSIS method, furthermore the impacts of carbon tax, battery degradation cost and the number of EVs on system performances are also studied. The results indicated that optimal ATC of IES is 6361.8 thousand yuan in Case 4 considering EVs ordered charging/discharging, optimum ACE and TGI are 4711.5 t and 2850.7 MWh in Case 5 with EVs ordered charging/discharging and state of fixed battery. Peak values and durations for charging/discharging electricity of fixed battery decrease in Case 4 and 5. This research offers a innovative idea for optimal design and operational management of integrated energy system with EVs orderly charging/discharging.

Suggested Citation

  • Zhang, Xiaofeng & Liu, Yuting & Zhan, Yu & Yan, Renshi & Mei, Jin & Fu, Ang & Jiao, Fan & Zeng, Rong, 2024. "Multi-scenario optimization and performance evaluation of integrated energy system considering co-scheduling of EVs and stationary energy storage," Renewable Energy, Elsevier, vol. 237(PD).
    • Handle: RePEc:eee:renene:v:237:y:2024:i:pd:s0960148124019955
    DOI: 10.1016/j.renene.2024.121927
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