Demand-side shared energy storage pricing strategy based on stackelberg-Nash game

• The economic benefit model of various players participating in the game is fully considered. • A demand-side shared energy storage pricing strategy based on mixed game is developed. • Through solving the model, the benefits of each participant are maximized and win–win cooperation is realized. With the large-scale access of user-side energy storage devices, shared energy storage has emerged as a key mode of energy storage in distribution networks. This mode requires efficient management of energy storage devices that balances the interests of different entities such as power supply enterprises, shared energy storage operators, and prosumers. In this mode, the formulation of charging and discharging prices is crucial. This paper proposed a dual-layer pricing model for shared energy storage systems based on mixed-game theory and its solution method. First, this study developed an upper-level stackelberg game model between the power supply enterprise and the cooperative alliance. The power supply enterprise, acting as the leader, sought to minimize operational costs while negotiating transaction electricity prices with the cooperative alliance. Second, a cooperative game model was developed within the lower-level alliance. As followers, the cooperative alliance seeks to maximize the alliance’s overall benefits. Based on the upper-level transaction electricity price and Nash bargaining theory, the internal transaction electricity price within the alliance was determined through negotiation. Subsequently, charging and discharging strategies were formulated along with a profit distribution mechanism. Finally, case studies simulations were used to validate the feasibility and effectiveness of the proposed model.

Authors

Institutions

Publication Details

Journal
International Journal of Electrical Power & Energy Systems
Published
2024-11-21
DOI
https://doi.org/10.1016/j.ijepes.2024.110387
Citations
15
Primary Topic
Smart Grid Energy Management
Type
article
Field-Weighted Citation Impact
3.13
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Demand-side shared energy storage pricing strategy based on stackelberg-Nash game

Jindong Cui, Ruotong Li, Z Zhu, Guoli Qu et al.
15 citations
International Journal of Electrical Power & Energy Systems
Smart Grid Energy Management
3.13
article

Demand-side shared energy storage pricing strategy based on stackelberg-Nash game

Jindong Cui, Ruotong Li, Z Zhu, Guoli Qu, Yuqing Wang
article en
15 citations

Abstract

• The economic benefit model of various players participating in the game is fully considered. • A demand-side shared energy storage pricing strategy based on mixed game is developed. • Through solving the model, the benefits of each participant are maximized and win–win cooperation is realized. With the large-scale access of user-side energy storage devices, shared energy storage has emerged as a key mode of energy storage in distribution networks. This mode requires efficient management of energy storage devices that balances the interests of different entities such as power supply enterprises, shared energy storage operators, and prosumers. In this mode, the formulation of charging and discharging prices is crucial. This paper proposed a dual-layer pricing model for shared energy storage systems based on mixed-game theory and its solution method. First, this study developed an upper-level stackelberg game model between the power supply enterprise and the cooperative alliance. The power supply enterprise, acting as the leader, sought to minimize operational costs while negotiating transaction electricity prices with the cooperative alliance. Second, a cooperative game model was developed within the lower-level alliance. As followers, the cooperative alliance seeks to maximize the alliance’s overall benefits. Based on the upper-level transaction electricity price and Nash bargaining theory, the internal transaction electricity price within the alliance was determined through negotiation. Subsequently, charging and discharging strategies were formulated along with a profit distribution mechanism. Finally, case studies simulations were used to validate the feasibility and effectiveness of the proposed model.

International Journal of Electrical Power & Energy SystemsVol. 164
Northeast Electric Power University (CN)
Affordable and clean energy
Openalex Percentile: Top 8%
Smart Grid Energy Management
3.13
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Demand-side shared energy storage pricing strategy based on stackelberg-Nash game — Jindong Cui, Ruotong Li, et al. · International Journal of Electrical Power & Energy Systems (2024) | TGRS Research Map | TGRS