Abstract

A comprehensive energy system based on multi-energy complementation is an important way to improve regional energy utilization efficiency and optimize resource allocation. Taking the minimization of the running cost of the integrated energy system as the objective function, a matrix model of the energy flow of the integrated energy equipment is established, and a method combining dynamic programming and improved particle swarm optimization is proposed. Under the same load and energy price setting, the horizontal comparison method was used to analyze the optimization of the integrated energy system under the conditions of no energy storage, two heat storage only, and three composite heat storage and cooling settings. The results showed that the operating costs of working condition three and working condition two are reduced by 14.65% and 5.92%, respectively compared with working condition one. The existence of energy storage devices has a significant impact on optimizing the overall operation scheduling of the system, while reducing the use of unnecessary energy supply equipment. At the same time of running costs, it can also achieve a more stable operation of the system.

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