Aiming at the optimization problem of operation dispatching of multi-energy systems including cold, heat, electricity and gas, in order to achieve the goal of energy saving and emission reduction, a microgrid optimization model including microsources such as fans, micro gas turbines, waste heat boilers, lithium bromide absorption chillers, etc. is established with the microgrid operation cost and new energy utilization rate as the optimization objectives. The improved multi-objective grey wolf algorithm (MOGWO) is used to solve the multi-objective model, which effectively compensates for the disadvantage that the grey wolf algorithm is easy to fall into local optimum. The simulation analysis shows that the algorithm has good solution speed and global search performance, which provides an optimal dispatching strategy for multi-energy systems, realizes flexible mobilization of microgrid, and achieves the effects of reducing operating costs and low grid-connected volatility.

In order to solve the problem of energy consumption, improve the efficiency of energy utilization and develop new energy, the total energy consumption and fluctuation of thermal integrated energy were analyzed. Four suggestions are put forward for the integrated power system of flexible thermal power plant, namely, electric heat storage system, electric heat pump heat storage system, g, heating system and high pressure heating system via steam turbine, which can improve the air energy consumption capacity of the system and reduce the total coal consumption of the system. Among them, in the case of small air conditioning units or small air conditioning units do not use electric heating furnace and electric heat pump furnace. Heat storage technology of thermal power unit is not suitable for daily exhaust. In contrast, the high pressure/IP bypass heating process of steam turbine is more flexible and less restrictive, which is the best method for comparison. Compared with other schemes discussed by the author, this scheme has the highest flexibility and the least restrictions, and is the best one among the four.

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