In the context of deepening the integrated energy system reform of the power Internet of Things

the Internet of Things provides a new driving force for the integrated energy services from the technical level

but it puts forward more requirements for more diverse energy production and consumption scenarios. The traditional microgrid system has been difficult to adapt to the vision of adjusting multi-energy coupling and accurately predicting scheduling under the new situation. In this paper

the integrated energy system is taken as the base

the integrated energy microgrid framework for the power Internet of Things is proposed. It is pointed out that it is necessary at the application level to achieve economic optimization dispatch

overall layout of the integrated energy and energy trading. The new strategy of iterative optimization and scheduling for energy suppliers facing the market at the upper and lower levels is proposed. According to the characteristics of the model

the upper layer is the optimal scheduling mathematical model with the maximum profit of the comprehensive energy supplier as the objective function

which is solved by the MATLAB/CPLEX solver. The lower layer is the mathematical model of the clearing of the energy market

which is solved by the particle swarm algorithm. It is shown through the results of calculation examples that the integrated energy market can find the best social welfare point

and energy suppliers can reasonably allocate and utilize various energy equipment

which verifies further the practicality of the proposed method.