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Pricing method of electric-thermal heterogeneous shared energy storage service

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  • Wang, Chutong
  • Zhang, Xiaoyan
  • Wang, Yucui
  • Xiong, Houbo
  • Ding, Xi
  • Guo, Chuangxin

Abstract

Energy storage system (ESS) has been considered as a pivotal technology enjoying a wide range of applications in different levels of power systems. However, the investment of ESS is still relatively high. Thus, shared energy storage (SES) is consequently recognized as a promising business model. Considering the dynamic virtual energy storage characteristics of heat network, this paper proposes a power-thermal heterogeneous SES model to meet the practical need of participants. Firstly, a quasi-dynamic model of heat energy transport is conducted to analyze the virtual energy storage potential of heat network. Then, the power-thermal heterogeneous SES model is developed to describe the formation mechanism of ESS supply and demand with heat network as the schedulable energy storage resource. Furthermore, a pricing method of electric-thermal heterogeneous SES is proposed. The upper-level problem of it targets at maximizing the benefits of the SES operator, while the lower-level problem aims to minimize the costs of users. Simultaneously, the service price and user purchase capacity can be obtained as optimization variables. Finally, case studies are adapted to verify the rationality and validity of the proposed model.

Suggested Citation

  • Wang, Chutong & Zhang, Xiaoyan & Wang, Yucui & Xiong, Houbo & Ding, Xi & Guo, Chuangxin, 2023. "Pricing method of electric-thermal heterogeneous shared energy storage service," Energy, Elsevier, vol. 281(C).
    • Handle: RePEc:eee:energy:v:281:y:2023:i:c:s0360544223016699
    DOI: 10.1016/j.energy.2023.128275
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    References listed on IDEAS

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    Cited by:

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    2. Fang, Guochang & Meng, Aoxiang & Wang, Qingling & Zhou, Huixin & Tian, Lixin, 2024. "Analysis of the evolution path of new energy system under polymorphic uncertainty—A case study of China," Energy, Elsevier, vol. 300(C).
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