• DocumentCode
    176984
  • Title

    An adaptive droop voltage control for DC microgrid systems

  • Author

    Zhongjing Ma ; Wencai Jiang

  • Author_Institution
    Sch. of Autom., Beijing Inst. of Technol. (BIT), Beijing, China
  • fYear
    2014
  • fDate
    May 31 2014-June 2 2014
  • Firstpage
    4512
  • Lastpage
    4517
  • Abstract
    Distributed energy resources and energy-storage units are parallel connected through converters in a DC bus microgrid. Current sharing is a basic requirement for microgrid and many current sharing methods are proposed. Distinct from those methods like the average current method, centralized method and master-slave method, the droop control method does not need any interconnections between the converters and has been widely adapted. However, in the traditional droop control, the system deals with the tradeoff between voltage regulation and current sharing, and it results in the voltage drop in case of good current sharing. In this paper, in order to improve the system performance, we propose a novel droop control method, such that the system adaptively updates the output voltage set-point for each of converters. As demonstrated with simulations, the proposed method greatly improves the output voltage regulation without significant compromise of current sharing performance.
  • Keywords
    adaptive control; distributed power generation; energy resources; energy storage; power convertors; power distribution control; power system interconnection; voltage control; DC microgrid systems; adaptive droop voltage control; average current method; centralized method; converters; current sharing; distributed energy resources; droop control method; energy-storage units; master-slave method; voltage regulation; Accuracy; Adaptation models; Adaptive systems; Generators; Load modeling; Microgrids; Voltage control; Microgrid; converter parallel operation; current sharing; droop method; voltage control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (2014 CCDC), The 26th Chinese
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4799-3707-3
  • Type

    conf

  • DOI
    10.1109/CCDC.2014.6852977
  • Filename
    6852977