Research on Data-Driven Distribution Network Planning Method

With the development of intelligent and interactive power system, elements distribution network planning continue to increase. The connects transmission system individuals, directly affects individual’s consumption experience, is a key link in system. A reasonable scheme can not only improve supply capacity reliability but also fully apply data each realize optimal medium-voltage driven by data. Firstly, this paper constructs CIM model topology establishes wiring pattern recognition feature library. reconstruction method research was carried out for target line, typical operation scenario generated. At same time, based on time period loss index, reconfiguration optimization expansion are established, solution expounded. with best overall performance scenario. experimental results final example show that proposed be calculated more accurately, optimized suitable load characteristics region, has certain feasibility.