Compound Energy System Based on Time Series Algorithm

Abstract

Today, with the continuous progress and development of society, the demand for energy is increasing. This has led to a series of serious problems such as the shortage of fossil fuels and the deterioration of environmental pollution. For this reason, the country has also attracted much attention and strives to achieve energy conservation and emission reduction as much as possible. been studied. focus. The purpose of this paper is to optimize complex energy systems based on time series algorithms, and to establish mathematical modeling and solution design of complex energy systems. Because traditional time series algorithms often convert multiple objectives into one objective to solve, there are many optimal solutions. However, the traditional time series algorithm has local convergence, so it is proposed to introduce the normal distribution crossover operator in the traditional time series algorithm to enhance the search ability of the algorithm. Through example analysis, the water supply temperature is fixed at 50 °C in real life. The total energy efficiency ratio COP after system optimization is 5.7-6.1, which fully reflects the energy saving effect after optimization. Environmental protection and economic concepts, and the feasibility of improving the timing algorithm to optimize complex energy configuration parameters.