DocumentCode
145116
Title
Control research of supercapcitor energy storage system for urban rail transit network
Author
Zongyu Gao ; Jianjun Fang ; YiNong Zhang ; Di Sun ; Lan Jiang ; Xiaoling Yang
Author_Institution
Coll. of Autom., Beijing Union Univ., Beijing, China
Volume
1
fYear
2014
fDate
26-28 April 2014
Firstpage
181
Lastpage
185
Abstract
In order to prevent regenerative energy failure for the metro-trains, this paper proposes a new circuit configuration of an energy storage systems. The system enables improved performance of the powering and the regenerative braking at the high speed region without regeneration failure. Suggests a novel energy management control algorithm for metro trains based on acceleration measurement and estimation. The energy management control is integrated with the motor drive control. The algorithm is based on two nested loops on voltage and current of SC. The voltage and current references are calculated on the basis of the estimation of the train inertial force and motor torque. A simplified mathematical model of the whole electrical drive has been developed, the main features of the circuit configuration and the control strategy have been presented. Numerical simulations show the efficacy of suggested configuration and the energy saving obtained for metro trains. Experimental tests made on an electromechanical simulator fully confirm theoretical results.
Keywords
acceleration measurement; braking; energy management systems; machine control; motor drives; railway electrification; supercapacitors; acceleration measurement; control research; control strategy; current references; electrical drive; electromechanical simulator; energy management control algorithm; energy saving; mathematical model; metro trains; motor drive control; motor torque; numerical simulations; regeneration failure; regenerative braking; regenerative energy failure; supercapacitor energy storage system; train inertial force; urban rail transit network; voltage references; Acceleration; Computational modeling; Energy storage; Mathematical model; Rails; Substations; Vehicles; Regenerative braking; SC; control strategy; regeneration failure;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science, Electronics and Electrical Engineering (ISEEE), 2014 International Conference on
Conference_Location
Sapporo
Print_ISBN
978-1-4799-3196-5
Type
conf
DOI
10.1109/InfoSEEE.2014.6948093
Filename
6948093
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