PSO-Based Optimal Strategy Study of Train’s Energy Efficient Operation under Disturbed Condition

Hui Hu

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

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 512-515PSO-Based Optimal Strategy Study of Train’s Energy...

PSO-Based Optimal Strategy Study of Train’s Energy Efficient Operation under Disturbed Condition

Abstract:

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.

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Periodical:

Advanced Materials Research (Volumes 512-515)

Pages:

1299-1302

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.512-515.1299

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Online since:

May 2012

Authors:

Hui Hu

Keywords:

Energy Efficient, Optimal Operation Strategy, Particle Swarm Optimization (PSO), Train Running Disturbance

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