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.
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Jiang et al. (2024) studied this question.
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