1.School of Electrical Engineering, Shanghai Electric Power University, Shanghai 200090, China;2.Electric Power Research Institute of State Grid Shanghai Municipal Electric Power Company, Shanghai 200437, China;3.School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China

Distributed generators and flexible adjustable loads are widely integrated into the distribution network, making their source-load characteristics and supply-demand relationships increasingly complex. Distributed energy storage systems (DESS) play an important role in optimizing the operation characteristics of active distribution networks. A distributed energy storage sequence planning method based on priority index is proposed to address the problem of unclear actual grid structure and strong DESS functional complexity in the process of power grid planning, which makes it difficult to achieve global optimization due to a single planning scenario. This method characterizes the comprehensive energy storage configuration demand from the perspective of demand hierarchy analysis, guiding the optimization configuration and orderly integration of energy storage. Firstly, a priority index construction method based on user demand analysis of distribution network is proposed to determine the priority of each user integrating into DESS. Secondly, taking into account the uncertainty of wind and photovoltaic output, a multi-objective planning model for distributed energy storage based on sequence optimization is proposed to determine the access location and capacity of DESS in the grid distribution network. Finally, an evaluation system for the improvement of user energy storage demand is established, providing theoretical support for the formulation of energy storage planning schemes. The simulation of a certain actual power supply grid is selected to verify that the proposed method and model can promote the accommodation of renewable energy resources and effectively guide the layout planning of energy storage in distribution networks with high-proportion renewable energy resources.

This work is supported by National Natural Science Foundation of China (No. 52207121) and Shanghai Municipal Commission of Science and Technology Innovation Action Plan Project (No. 22dz1206802).