Distributed energy system optimal configuration method based on improved zebra optimization algorithm

A distributed energy system optimization configuration method based on an improved zebra optimization algorithm is designed, so that a structural model and an optimization mathematical model of a distributed energy system (DES) are firstly established, and the structural model comprises various devices forming the system and connection modes thereof; the optimization mathematical model comprises a target function and constraint conditions of DES optimization configuration; secondly, designing an improved zebra optimization algorithm with excellent performance for solving an optimal configuration model of the DES, namely a DES optimization model with the goal of minimizing the construction and operation annual cost, pollutant emission and fuel consumption of the DES; the invention aims to improve the economic, environmental and energy-saving performance of DES coupling solar energy and geothermal energy technology, and finally, the rationality of the method is verified in the embodiment of the invention. There