To study the influences of the uncertainty of wind power output and photovoltaic(PV) power output as well as the energy storage system on operation performance of electricity-gas-heat integrated energy system(IES)

a day-ahead interval optimization model for the electricity-gas-heat IES is established considering the uncertainty of wind power output and PV power output and the influence of energy storage system. The model uses the interval number to represent the uncertainty of wind power and PV power in the electricity-gas-heat IES

and considers the upper and lower limits constraints of different equipment in the electricity network

gas network and heat network.The model is transformed into a mixed integer linear programming model and solved by the interval linear programming method. Finally

for a park electro-gas-heat IES

quantitative and qualitative simulation analysis is carried out for a typical day in summer and winter

and the result verifies the accuracy

economy and effectiveness of the proposed model.