DocumentCode :
665974
Title :
Comparison of energy management control strategy based on wayside ESS for LRV application
Author :
Ciccarelli, F. ; Iannuzzi, Diego ; Spina, I.
Author_Institution :
Dept. of Electr. Eng. & Inf. Technol., Univ. Federico II of Naples, Naples, Italy
fYear :
2013
fDate :
10-13 Nov. 2013
Firstpage :
1548
Lastpage :
1554
Abstract :
The paper focuses on an innovative energy management control strategy of a wayside supercapacitor (SC) applied in DC electrified light transit networks. In order to achieve minimum energy demand from the electric feeding substations, the target of the control is the optimal tracking of the storage device voltage subject to the minimization of the mean square of the supply currents and, consequently, the reduction of power losses along the line. Hence, optimization theory has been used for the analytical determination and implementation of real time control strategy. Therefore the proposed strategy has been verified and validated via numerical simulations with reference to realistic LRV operation and different headway among the operating vehicles. A comparison with a classical energy storage system (ESS) state of charge control has been also carried out, as well as the energy saving improvement has been highlighted and the energy storage system integration and challenges are addressed. The results validate the theoretical approach and prove that the suggested control strategy is quite effective, putting in evidence its potentiality and the possibility of an actual implementation.
Keywords :
energy conservation; energy management systems; energy storage; mean square error methods; numerical analysis; supercapacitors; DC electrified light transit networks; ESS; LRV; charge control; electric feeding substations; energy management control strategy; energy saving; energy storage system; mean square; numerical simulations; optimization theory; power losses; storage device; supercapacitor; supply currents; Acceleration; Energy storage; Kinetic energy; Mathematical model; Optimization; Substations; Vehicles; Energy savings; Energy system management; Optimal control; Rail vehicles; Supercapacitor;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics Society, IECON 2013 - 39th Annual Conference of the IEEE
Conference_Location :
Vienna
ISSN :
1553-572X
Type :
conf
DOI :
10.1109/IECON.2013.6699363
Filename :
6699363
Link To Document :
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