Research on two-stage configuration optimization of energy storage power station considering idle energy storage in new energy stations

In order to improve the stability of integrating renewable energy sources into the power grid， it is essential to deploy energy storage devices. However， excessive deployment can lead to higher construction costs and lower utilization efficiency. To tackle this challenge， this paper proposes an optimal deployment approach that leverages idle energy storage in new energy stations to reduce the construction costs of third-party energy storage power stations. This approach comprises two stages： In the first stage， an optimal scheduling model for the energy storage devices in new energy stations is developed， with the goal of maximizing the consumption of wind and solar power. In the second stage， after assessing the remaining storage capacity of new energy stations， the deployment of the energy storage power station capacity is optimized to maximize the operational revenue of third-party energy storage power stations. Case analysis demonstrates that third-party energy storage power stations following this approach exhibit reduced energy storage configuration capacity and significantly lower construction and maintenance costs compared to independently constructed energy storage power stations.