In order to realize the economic operation of the micro-energy network

an economic optimization scheduling method of the building micro-energy network with heat pump and electro-thermal hybrid energy storage is proposed. Firstly

based on the ETP model combined with Monte Carlo simulation

an aggregated air-conditioning load model with on-off regulation is established to determine the hourly cooling load. Then

a micro- energy network optimal dispatch model is constructed considering the temperature change characteristics of phase-change cold storage and the refrigerating characteristics of heat pumps. Finally

taking the minimum life cycle cost of the micro- energy network as the objective function

the model is solved using Python and Gurobi. The simulation results show that the configuration of electric-thermal hybrid energy storage has the effect of peak-load shifting of electricity and cooling loads

which can reduce the initial investment cost and operating cost

and the economy and flexibility of the system are better.