PSO-based Optimal Strategy Study of Train's Energy Efficient Operation under Disturbed Condition

被引：1

作者：

Hu, Hui ^{[1
]}

机构：

[1] E China Jiaotong Univ, Econ & Management Sch, Nanchang, Peoples R China

来源：

RENEWABLE AND SUSTAINABLE ENERGY II, PTS 1-4 | 2012年 / 512-515卷

关键词：

PSO; Energy Efficient; Optimal Operation Strategy; Train Running Disturbance;

D O I：

10.4028/www.scientific.net/AMR.512-515.1299

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

Instead of changeable chromosome length genetic algorithm, a new method based on particle swarm optimization algorithm is proposed to search a train's energy efficient operation strategy under running disturbance condition in railway network. The algorithm is designed and validated using a referenced simulation case. Compared with other methods, it demonstrates this new PSO-based algorithm has a better result in efficiency and may be considered to use in practice.

引用

页码：1299 / 1302

页数：4