This article studies the allocation of energy storage capacity considering electricity prices and on-site consumption of new energy in wind and solar energy storage systems. A nested two-layer optimization model is constructed, and the following conclusions are drawn:
The configuration power and capacity of energy storage in the wind and solar storage system are used as the decision variables, and the problem of considering the on-site consumption rate of new energy such as wind and solar and the configuration cost of energy storage is described in the inner layer.
(2) This article adopts a joint optimization model of load demand-side response and energy storage configuration, which can effectively improve the revenue of wind and solar storage systems and the on-site consumption rate of new energy, and greatly reduce the fluctuation penalty of connecting lines.
Figure 4 and Table 3 show the optimization solution results under different seasonal scenarios. From this, it can be concluded that the energy storage capacity configuration scale in summer is the largest, reaching 1194 kW·h, and the energy storage configuration power in spring is the largest, reaching 210 kW.
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