An Enhanced Dual Droop Control Scheme for Resilient Active Power Sharing among Paralleled Two-Stage Converters

Hongpeng Liu, Yongheng Yang, Xiongfei Wang, Poh Chiang Loh, Frede Blaabjerg, Wei Wang, Dianguo Xu

Research output: Contribution to journalJournal articleResearchpeer-review

14 Citations (Scopus)
696 Downloads (Pure)

Abstract

Traditional droop-controlled system has assumed that generators can always generate the powers demanded from them. This is true with conventional sources, where fuel supplies are usually planned in advance. For renewable sources, it may also be possible if energy storage is available. Energy storage, usually as batteries, may however be expensive, depending on its planned capacity. Renewable sources are therefore sometimes installed as non-dispatch-able sources without storage. This may not be viable for remote grids, where renewable sources may be the only or major type of sources. In those cases, traditional droop scheme may not work well when its demanded power cannot be met by some renewable sources due to intermittency. When that happens, the system may become unstable with some sources progressively brought out of generation. To avoid such occurrence, an enhanced dual droop scheme is proposed for general two-stage converters with front rectifiers or dc-dc converters for conditioning powers from renewable sources and rear inverters for channeling powers to remote grids. Unlike the traditional droop scheme, the proposed dual droop scheme uses both dc-link voltage and generated powers for determining the required control actions, which have subsequently been proven stable by small-signal analysis. Experimental results have also verified the effectiveness of the dual droop scheme.
Original languageEnglish
JournalIEEE Transactions on Power Electronics
Volume32
Issue number8
Pages (from-to)6091 - 6104
Number of pages14
ISSN0885-8993
DOIs
Publication statusPublished - Aug 2017

Keywords

  • Microgrid
  • Two-stage converters
  • Droop control
  • Active power sharing
  • Small-signal analysis

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