Title :
PSO-based optimal operation strategy of energy saving control for train
Author :
Hu, Hui ; Fu, Yin-Ping ; Hu, Chao
Author_Institution :
Econ. & Manage. Sch., East China Jiaotong Univ., Nanchang, China
Abstract :
The typical models and algorithms of energy saving control for a train are introduced and summarized. According to one of energy-efficient mathematical models which usually use GA algorithm to solve, a new algorithm based on particle swarm optimization is applied for the model. Through calculation for a cited example, simulation results such as speed-position curve are got. Compared with other methods, it demonstrates this new PSO-based algorithm has a better performance and can be considered to be put into practical use.
Keywords :
energy conservation; genetic algorithms; particle swarm optimisation; railways; GA algorithm; PSO; energy saving control; mathematical models; optimal operation strategy; particle swarm optimization; speed-position curve; train; Microcomputers; Silicon; Energy Saving Control; Optimal Operation Strategy; PSO; Simulation Analysis;
Conference_Titel :
Industrial Engineering and Engineering Management (IE&EM), 2010 IEEE 17Th International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-6483-8
DOI :
10.1109/ICIEEM.2010.5646113