To address the operational volatility and complexity caused by the high penetration of renewable energy in distribution networks, the traditional static and isolated operation mode of distribution transformers struggles to simultaneously ensure power supply quality and economic efficiency. This paper proposes a coordinated dispatch strategy for interconnected distribution transformers based on regional dynamic partitioning and shared energy storage systems. Firstly, an improved K-means partitioning model for distribution transformers is constructed. By integrating a comprehensive distance metric that combines load characteristics and geospatial information, the limitations of traditional single-dimensional partitioning are overcome. Furthermore, a bi-level optimization dispatch model is established, with the upper-level objective of minimizing voltage deviation and the lower-level objective of minimizing operational cost, achieving the coordinated optimization of power quality and economic operation. On this basis, a comprehensive evaluation index composed of voltage stability and economic efficiency is innovatively proposed, and a dynamic weight adjustment mechanism feedback-based on the electrical correlation degree of distribution transformers is designed. This mechanism drives the closed-loop dynamic optimization of the partitioning scheme, enabling it to adaptively respond to the spatiotemporal changes of loads and renewable energy. Simulation results show that the proposed strategy increases the renewable energy utilization rate of distribution transformers by 5% and the daily maximum energy storage utilization rate by 9%, while forming a reasonable partitioning scheme with geographical compactness and electrical tightness.
Ma et al. (Thu,) studied this question.