Abstract:Renewable energy has attracted much attention from the energy industry due to its clean and low-carbon characteristics. But at the same time, the uncertainty of renewable energy also brings serious consumption problems. Improving the flexibility of the power system to solve the problem of renewable energy consumption has become one of the current research hotspots. This paper broke through the barriers between heterogeneous energy sources and explored the improvement of renewable energy consumption capacity based on the integrated electric-heat energy system. At the same time, based on economic and safety indicators, this paper proposed a multi-objective optimization mathematical model and solved the proposed model through dual transformation and C CG algorithm. Finally, in the case test, the effectiveness of the proposed model was demonstrated by comparing various test indicators of the integrated electric-heat energy system and the power system.