• 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