Multi-energy conversion and power demand response are effective ways to improve energy utilization, reduce system energy supply pressure, and balance supply and demand. Power demand response technology considers multi-energy conversion, aiming at the mutual conversion and substitution of multiple energy sources in the system, combined with price-based power demand response, to improve the energy supply capacity of the system, stabilize the load side fluctuation, and promote the system to eliminate wind and solar energy. First, linearize the modeling of related equipment in energy input, multi-energy conversion, multi-energy storage and other links a unified model for multi- energy conversion of electrical loads is proposed, and the resulting electrical energy storage characteristics are analyzed. Second,based on the peak-valley time-of-use electricity price, establish three load models that can be reduced, transferable, and replaceable. Finally, considering the four constraints of system operation, taking the lowest comprehensive cost of system operation as the objective function,the optimization effect of multi-energy conversion power demand response on system operation is studied, modeled by Yalmip modeling language, and Cplex solver is called to solve. Based on the optimal solution result of the objective function, the validity and feasibility of the model in this thesis are verified, which can further reduce the operating cost of the system and maximize the ability of the power system to absorb wind power.