Generic modularized analytical modelling of multiport LCL dc hub and multiport DC-DC

Weixing Lin, Dragan Jovcic, Lu Miao, Jinyu Wen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

A common modularized analytical modelling method is proposed to obtain the linearized state-space model of two different multiport DC hubs (the multiport LCL dc hub and multiport back-to-back dc-dc converting system). Linearization of the electrical circuit and modularized form of the controllers are firstly presented. The sub-systems in modularized linear forms are then linked to form an overall linearized system. Correctness of the linearized model is firstly compared with the linearized model obtained using linmod in Matlab/Simulink. Time domain simulations are then used to compare the linearized model with the nonlinear model in Matlab/Simulink and detailed switching model in PSCAD/EMTDC, for a 4-port test system. Results show that the proposed modularized analytical modelling method is able to obtain highly accurate linearized model and in the meantime significantly reduce the complexity of calculation.

Original languageEnglish
Title of host publication2015 IEEE Power and Energy Society General Meeting, PESGM 2015
PublisherIEEE Computer Society
Pages1-5
Number of pages5
ISBN (Electronic)9781467380409
DOIs
Publication statusPublished - 30 Sep 2015
EventIEEE Power and Energy Society General Meeting, PESGM 2015 - Denver, United States
Duration: 26 Jul 201530 Jul 2015

Conference

ConferenceIEEE Power and Energy Society General Meeting, PESGM 2015
CountryUnited States
CityDenver
Period26/07/1530/07/15

Keywords

  • DC power systems
  • DC power transmission
  • DC-DC power conversion
  • HVDC converters
  • HVDC transmission
  • Wind Eenergy

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  • Cite this

    Lin, W., Jovcic, D., Miao, L., & Wen, J. (2015). Generic modularized analytical modelling of multiport LCL dc hub and multiport DC-DC. In 2015 IEEE Power and Energy Society General Meeting, PESGM 2015 (pp. 1-5). [7286095] IEEE Computer Society. https://doi.org/10.1109/PESGM.2015.7286095