Collaborative Planning of Energy Storage System Considering Peak Regulation Demand and Renewable Energy Integration

The capacity of renewable energy integrated into the grid is steadily expanding, necessitating strategic planning of energy storage systems (ESS). Such planning is pivotal not only for reducing peak load shaving but also for augmenting the grid’s capacity to accommodate renewable energy sources. In this manuscript, an ESS planning scheme considering peak regulation demand is proposed. The outer model of this scheme constitutes a multi-factor optimization model with the net income of ESS and the new renewable energy acceptance index. The inner model is an optimal dispatching model, which aims at minimizing the system peaking operation cost, optimizes the renewable energy acceptance of the system, and obtains the charging and discharging power and energy storage configuration capacity of the ESS. Finally, the improved IEEE-30 bus system is used for simulation, and the results verify the feasibility and effectiveness of the proposed method.