Research on capacity-leasing price decision and risk evaluation of shared energy storage considering homogeneous service competition

The capacity-leasing model of shared energy storage (SES) has become a key method for flexibly configuring energy storage, gaining popularity among new energy stations, prosumers, and other stakeholders. However, setting an appropriate price is critical to the development and adoption of SES. Therefore, two methods for equipping energy storage, including self-construction and capacity-leasing, are considered in this paper. A pricing decision model for SES capacity-leasing is constructed in a competitive market composed of SES capacity-leasers and energy storage equipment integrators, utilizing dynamic game theory, and the optimal pricing strategy is derived under market equilibrium conditions. In addition, pricing risks are identified from market and technological perspectives and are quantified using interval number theory. Then, a regional energy storage market is taken as an example to carry out pricing simulation, and the result proves the effectiveness of the proposed model, which can provide decision-making support for SES pricing and investment risk prevention.

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Publication Details

Journal
Journal of Renewable and Sustainable Energy
Published
2025-05-01
DOI
https://doi.org/10.1063/5.0241093
Citations
1
Primary Topic
Smart Grid Energy Management
Type
article
Field-Weighted Citation Impact
0.73

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article

Research on capacity-leasing price decision and risk evaluation of shared energy storage considering homogeneous service competition

Bohao Li, Menghan Su, Ruining Cai, Chaochen Yan et al.
1 citations
Journal of Renewable and Sustainable Energy
Smart Grid Energy Management
0.73
article

Research on capacity-leasing price decision and risk evaluation of shared energy storage considering homogeneous service competition

Bohao Li, Menghan Su, Ruining Cai, Chaochen Yan, Yuqing Wang, Jiaxing Wang, Min Zhang
article en
1 citations

Abstract

The capacity-leasing model of shared energy storage (SES) has become a key method for flexibly configuring energy storage, gaining popularity among new energy stations, prosumers, and other stakeholders. However, setting an appropriate price is critical to the development and adoption of SES. Therefore, two methods for equipping energy storage, including self-construction and capacity-leasing, are considered in this paper. A pricing decision model for SES capacity-leasing is constructed in a competitive market composed of SES capacity-leasers and energy storage equipment integrators, utilizing dynamic game theory, and the optimal pricing strategy is derived under market equilibrium conditions. In addition, pricing risks are identified from market and technological perspectives and are quantified using interval number theory. Then, a regional energy storage market is taken as an example to carry out pricing simulation, and the result proves the effectiveness of the proposed model, which can provide decision-making support for SES pricing and investment risk prevention.

Journal of Renewable and Sustainable EnergyVol. 17(3)
North China Electric Power University (CN)
Natural Science Foundation of Hebei Province
Openalex Percentile: Top 29%
Smart Grid Energy Management
0.73
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Research on capacity-leasing price decision and risk evaluation of shared energy storage considering homogeneous service competition — Bohao Li, Menghan Su, et al. · Journal of Renewable and Sustainable Energy (2025) | TGRS Research Map | TGRS