Abstract: Addressing the issue of multi-energy complementarity in current microgrid systems, a new optimization method for building microgrids with virtual energy storage is proposed. Firstly, a building virtual energy storage model is constructed based on the heat balance equation and the human comfort temperature range. Secondly, a building microgrid structure that incorporates the virtual energy storage model is established. It regulates indoor temperatures within the human comfort temperature range by providing cooling or heating, manages the charge and discharge of virtual energy storage, and introduces demand response mechanisms to optimize user energy consumption habits. Finally, two typical climate scenarios, winter and summer, are used as examples to conduct research and analysis on the operation of independent small industrial facilities with and without virtual energy storage in microgrids. The objective is to minimize the daily comprehensive operating cost of the system, using an improved Golden Eagle algorithm to optimize the solution.Simulation results show that the proposed new method can reduce the operating cost of the system