Research on Optimal Configuration and Operation of Distributed Energy Station System in Building Scene

With the acceleration of urbanization, the existing centralized energy supply mode can not cope with the continuous expansion of building energy demand, resulting in a certain energy gap in the cooling and heating load demand of some building scenarios. Aiming At the defects that the centralized energy supply mode can not guarantee high efficiency, economy and environmental protection when providing building load, this paper proposes a cold-heatelectricity coupled distributed energy station system to meet the building load gap, and builds a distributed energy station system model based on MATLAB simulation platform. An optimization solving mode is adopted, which combines a YAMLIP toolbox and a CPLEX mixed integer nonlinear programming solver. The output is an optimized scheme for the distributed energy station system, meeting the optimal equipment capacity configuration of the building load and the optimal equipment operation output. The results show that compared with the traditional energy supply mode, the annual average total cost of the optimized distributed energy station system is reduced by 18.7%, the carbon dioxide emissions are reduced by 38.7%, the total energy efficiency of the system reaches 1.26, and the annual operating cost can be saved by 2.972 million yuan.