Research on nash game model for user side shared energy storage pricing

• Published in: Scientific reports 2023-09, Vol.13 (1), p.16099-16099, Article 16099
• Main Authors: Qian, Weijie, Chen, Chao, Gong, Liwu, Zhang, Wei
• Format: Article
• Language: English
• Subjects: 639/166; 639/4077; Electricity distribution; Energy storage; Humanities and Social Sciences; multidisciplinary; Science; Science (multidisciplinary); Simulation analysis
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-023-43254-z

With the continuous promotion of the energy revolution, the market-oriented reform of electricity has become the first priority in the energy field, and small-scale energy storage devices on the user side have received more and more attention. However, the disorderly management mode of user-side energy storage not only causes a waste of resources, but also brings hidden dangers to the safe operation of the power grid, such as stability, scheduling and operation, power quality and other problems. To address this issue, this paper proposes a user-side shared energy storage pricing strategy based on Nash game. Firstly, an optimal operation model is established for each participant of energy storage operators, users and grid. Secondly, a cooperative game model is established based on Nash equilibrium theory for the participants under the constraints. Finally, the optimal pricing scheme is solved by simulation analysis of the model, and the feasibility of the proposed pricing mechanism is verified. The results show that the optimal pricing scheme can achieve the purpose of peak shaving and resource saving. At the same time, it can also realize the win–win situation for all parties.