Research on Building Energy Consumption Optimization Based on Improved Particle Swarm Optimization Algorithm
Xuwei Zhang, Baifeng Feng, Xingqun Ruan, Jing Liu · Journal of Physics Conference Series · 2021
Aiming at the poor efficiency of traditional PSO algorithm in energy consumption optimization of office buildings in cold areas, a building energy consumption optimization method based on improved PSO was proposed. Firstly, the basic principle of PSO algorithm is analyzed, and then the PSO algorithm is improved by GE or AG operators. On the basis of the improvement, different test functions were used to optimize the algorithm, and then the maximum PSO parameters were verified. Finally, the above improvements are applied to a building example. The results show that the improved PSO energy consumption optimization method can not only improve the fast travel performance of the algorithm, but also reduce the overall search time.