A Natural Growth Spatiotemporal Evolution Model of Distribution Networks Considering Distributed Generators Access

Under the background of large-scale access of distributed generators (DG), a factor not adequately addressed in traditional evolutionary studies that overlook the distinctive characteristics of active distribution network. In light of this, the paper initially analyzes the influencing factors of evolutionary drivers, establishing a characteristic indicator system for the evolution of distribution networks that takes into account adequacy, reliability, and economy. Subsequently, a natural growth spatiotemporal evolution model for distribution networks is proposed in the context of DG integration, combining complex network research methods with conventional planning approaches. The model abstracts the distribution network as a graph, incorporating node growth patterns considering load density and edge growth patterns considering node degree and distance. Optimization is then performed with the objective of achieving optimal evolutionary indicators. Through calculation, analysis and validation on an actual distribution network in a specific region, the proposed approach considers the impact of DG, predicts key evolutionary nodes, and provides optimization results with reference significance for power grid planning.