Abstract: In recent years， distributed energies represented by photovoltaic and wind power have developed rapidly. However， the uncertainty of their output will bring challenges to the distribution network planning and reliable and stable operation. Under the above background， this paper aims at adapting to the uncertainty of distributed energies and loads， taking the access location， installation quantity and new power lines of distributed power as investment decision content， and proposes a two-stage robust planning method for distribution networks. Firstly， a bi-level programming model of the distribution network is established， and the nonlinear model is transformed into a mixed integer linear model by the big M-approach and the second-order cone relaxation. Secondly， the extreme scenario method is used to deal with random variables， and a two-stage robust planning method for the distribution network is proposed. Then， the column and constraint generation based on the extreme scenario method is used to solve the problem. Finally， a 23-node distribution network example is used to verify the rationality and effectiveness of the proposed model.

Key words: distribution network planning, two-stage robust planning, extreme scenario, column and constraint generation （C&CG）