Optimal User-Side Energy Arbitrage Strategy in Electricity Market
In this paper, the optimal operation and arbitrage strategies for user-side energy storage systems are studied considering an accurate battery model to capture the charging
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.
Subsequently, a user-side energy storage optimization configuration model is developed, integrating demand perception and uncertainties across multi-time scale, to ensure the provision of reliable energy storage configuration services for different users. The primary contributions of this paper can be succinctly summarized as follows. 1.
However, the high cost and relatively low returns pose challenges for industrial and commercial users to engage in energy storage operations, thereby constraining the development of user-side energy storage.
A novel robust two-layer SG model is proposed for optimal user-side energy storage configuration and power pricing.
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