DocumentCode :
2617609
Title :
Energy minimization for catenary-free mass transit systems using Particle Swarm Optimization
Author :
Colak, Kerim ; Czarkowski, Dariusz ; De León, Francisco
Author_Institution :
Dept. of Electr. & Comput. Eng., Polytech. Inst. of New York Univ., Brooklyn, NY, USA
fYear :
2012
fDate :
16-18 Oct. 2012
Firstpage :
1
Lastpage :
5
Abstract :
In this paper, a train model and algorithm of energy minimization control using Particle Swarm Optimization (PSO) are introduced for a catenary-free mass transit system. The train model is created in MATLAB/Simulink. Since the performance of the train heavily depends on the supercapacitor (SC) voltage. Tractive effort reduction is considered under low SC voltage in the simulations. Impact of coasting point on the running time is investigated and simulation results are used to find optimum coasting point under several constraints, such as running time, charging time, maximum charging current, SC voltage and distance between stations.
Keywords :
electric vehicles; minimisation; particle swarm optimisation; supercapacitors; Matlab-Simulink; PSO; SC voltage; catenary-free mass transit systems; energy minimization control; particle swarm optimization; supercapacitor voltage; train model; Capacitance; Reluctance motors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Systems for Aircraft, Railway and Ship Propulsion (ESARS), 2012
Conference_Location :
Bologna
ISSN :
2165-9400
Print_ISBN :
978-1-4673-1370-4
Electronic_ISBN :
2165-9400
Type :
conf
DOI :
10.1109/ESARS.2012.6387414
Filename :
6387414
Link To Document :
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