• DocumentCode
    3603814
  • Title

    Power-Capacity-Based Bus-Voltage Region Partition and Online Droop Coefficient Tuning for Real-Time Operation of DC Microgrids

  • Author

    Jianfang Xiao ; Setyawan, Leonardy ; Peng Wang ; Chi Jin

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
  • Volume
    30
  • Issue
    4
  • fYear
    2015
  • Firstpage
    1338
  • Lastpage
    1347
  • Abstract
    Multiple-voltage-region control, in which the bus-voltage range is divided into several regions, is usually implemented for dc microgrid operation in distributed manner. Voltage/power droop relationships are imposed for active power sharing among slack terminals. Conventionally, threshold voltages for voltage region partition are determined with fixed percentage of variation around the nominal value, which may result in unevenness of droop coefficients in different regions. If system droop coefficient is too high, significant bus-voltage step change due to load variation will occur. On the other hand, significant power sharing error among slack terminals will be induced if the droop coefficient is too low. In this paper, a compromised solution with power-capacity-based bus-voltage region partition is proposed to equalize the droop coefficients in different regions. However, the droop coefficients are determined based on the rated power capacity of system units. Bus-voltage discontinuity appears when the power capacity reduces in actual implementation. To eliminate the voltage discontinuity, online droop coefficient tuning according to the real-time power capacity is implemented. Algorithms for local power capacity estimation of solar photovoltaic (PV) and battery energy storage have been proposed. A lab-scale dc microgrid has been developed for verification of the proposed methods.
  • Keywords
    battery storage plants; distributed power generation; energy storage; photovoltaic power systems; voltage control; DC microgrids; active power sharing; battery energy storage; lab-scale dc microgrid; multiple-voltage-region control; online droop coefficient tuning; power-capacity-based bus-voltage region partition; real-time operation; solar photovoltaic; Estimation; Microgrids; Power generation; Real-time systems; Threshold voltage; Tuning; Voltage control; DC microgrid; droop coefficient; online tuning; power capacity estimation; voltage region partition;
  • fLanguage
    English
  • Journal_Title
    Energy Conversion, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8969
  • Type

    jour

  • DOI
    10.1109/TEC.2015.2451131
  • Filename
    7161309