Model of High-Proportion New Energy Distribution Network Planning Based on Data-Driven Approach

In response to the transformation of the power grid form and to promote the local consumption of distributed resources, a three-layer planning model for highportion new energy distribution networks based on data-driven is proposed. The decision-making layer uses an improved K-means algorithm to determine the load center and the distributed power source, and divides the distribution network grid based on the source-load balance relationship. The planning layer aims to minimize the comprehensive investment cost and proposes a configuration scheme for the construction distributed power sources and the network structure within the grid. The operation layer model aims to minimize the comprehensive operation cost, promote the good interaction of resources within the grid, the mutual assistance of resources between grids. The three-layer planning model combines the planning and operation of the distribution network, fully mines multi-source information such as power sources and, and realizes multi-dimensional linkage of distribution network resources in the resource space and grid interaction in the spatial space. The effectiveness of the proposed strategy is verified through an improved swarm optimization algorithm.