With the aggravation of energy crisis

re-electrification has become an inevitable choice to solve the problem of energy development. Taking gas-electric integrated energy system(IES)as a new way of re-electrification

second-order cone programming(SOCP)is proposed to solve the probabilistic optimal energy flow of the day-ahead dispatch of IES. Firstly

the day-ahead dispatch of IES model consists of the electric power system(EPS)

the natural gas system(NGS)and the energy hub(EH). Then

the day-ahead dispatch of IES model is changed into a convex model and the point estimation method is used to solve the probabilistic optimal energy flow of the day-ahead dispatch. Finally

a typical case study indicates that the algorithm is correct and effective on the YALMIP platform in MATLAB.