Application of New Active Distribution Network Energy Storage System in Improving Grid Flexibility

This paper proposes a solution to effectively improve the flexibility of grid operation by integrating advanced energy storage technology and multi-objective optimization algorithm. This paper designs an optimization scheduling algorithm suitable for active distribution network based on the Pareto optimization method. The proposed algorithm considers multi-dimensional performance indicators such as economic cost, system volatility and distributed energy utilization rate by constructing a multi-objective optimization model, aiming to achieve comprehensive optimization of grid operation. The peak-shaving and valley-filling capability of energy storage technology effectively alleviates the pressure of power demand fluctuation on grid operation. In addition, under the framework of multi-objective optimization, the system achieves a significant reduction in voltage deviation and effective control of line loss. The experimental results show that the voltage deviation of the proposed system in typical operation scenarios is reduced by 23.5%, the line loss is reduced by 18.7%, and the load matching rate is significantly improved, providing strong support for the stability and efficiency of the grid.