Paper
13 May 2024 Research on power sharing strategy of cloud energy storage market based on Stackelberg model
Yu Jiang, Zhijie Wang
Author Affiliations +
Proceedings Volume 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023); 1315915 (2024) https://doi.org/10.1117/12.3024262
Event: Eighth International Conference on Energy System, Electricity and Power (ESEP 2023), 2023, Wuhan, China
Abstract
Cloud energy storage operators (CESO) aggregates distributed energy storage among users, which can greatly improve the utilization rate of energy storage. In order to make cloud energy storage users better carry out power trading, a cloud energy storage system architecture and operation service model are proposed, and on this basis, an internal price model based on the power supply and demand ratio is designed, and the utility cost model of user participation in demand response is proposed while considering the economy, and the optimal pricing strategy is obtained based on the Stackelberg game combined with Particle swarm optimization (PSO) algorithm. Finally, the results show that the proposed method is reasonable and effective, which can effectively promote energy consumption, achieve a balance of benefits for both parties, and improve the enthusiasm of users to participate.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Yu Jiang and Zhijie Wang "Research on power sharing strategy of cloud energy storage market based on Stackelberg model", Proc. SPIE 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023), 1315915 (13 May 2024); https://doi.org/10.1117/12.3024262
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KEYWORDS
Solar energy

Clouds

Wind energy

Particle swarm optimization

Power consumption

Data storage

Power grids

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