Optimal Configuration of Integrated Energy Systems Based on Mixed Integer Linear Programming

The research on the configuration and optimization strategy of the integrated energy system is of great significance and value for ensuring the regional energy balance, reducing the investment cost of the system and improving the economy of operation, as it is an efficient and low-carbon form of energy utilization. In this paper, an optimal configuration method of integrated energy system based on mixed integer linear programming is proposed that abstracts all kinds of equipment with the same output energy type into a parallel structure with input and output functions, which can realize synchronous optimization of equipment type, capacity and operation strategy. Then, auxiliary variables and constraints are introduced for the non-linear function terms in the model which are equivalent to the mixed integer linear programming problems that are easy to solve. Finally, the comprehensive energy system to be built in a park is optimized and the effectiveness of this method is verified by the test results of an example.