Optimization Algorithm for Energy Storage Capacity of Distribution Network Based on Distributed Energy Characteristics

The rapid development of distributed energy resources has changed the operating mode of traditional power systems, and the introduction of energy storage systems has become a key means to improve the flexibility, stability, and reliability of power grids. This article proposes an optimization algorithm for energy storage capacity in distribution networks based on distributed energy characteristics, which comprehensively considers technical, economic, and environmental factors. To verify the effectiveness of the algorithm, we conducted a detailed case study on a real-world distribution network model. The research results indicate that when the heat storage capacity in a photovoltaic power plant is 1 hour, the temperature control ability of the thermal load and the regulation ability of the photovoltaic unit are generally limited due to the small heat storage capacity. At this time, the operating cost of the low-frequency part is higher, and the total cost is higher. When the heat storage capacity in the photothermal power plant is approximately 2-10h, the solar energy utilization rate can be improved and the system economy is optimal. Later, as the heat storage capacity increases and the cost of heat storage increases, the utilization rate of heat storage decreases, and the total cost of the low-frequency part of the system gradually increases. In addition, this study provides guidance for the design and operation of future power systems to adapt to the rapid development of distributed energy resources and changes in the power industry.