A Virtual Inertia Control Strategy for DC Microgrids Analogized with Virtual Synchronous Machines

Wenhua Wu, Yandong Chen, An Luo, Leming Zhou, Xiaoping Zhou, Ling Yang, Yanting Dong, Josep M. Guerrero

Research output: Contribution to journalJournal articleResearchpeer-review

212 Citations (Scopus)
1871 Downloads (Pure)

Abstract

In a DC microgrid (DC-MG), the dc bus voltage is vulnerable to power fluctuation derived from the intermittent distributed energy or local loads variation. In this paper, a virtual inertia control strategy for DC-MG through bidirectional grid-connected converters (BGCs) analogized with virtual synchronous machine (VSM) is proposed to enhance the inertia of the DC-MG, and to restrain the dc bus voltage fluctuation. The small-signal model of the BGC system is established, and the small-signal transfer function between the dc bus voltage and the dc output current of the BGC is deduced. The dynamic characteristic of the dc bus voltage with power fluctuation in the DC-MG is analyzed in detail. As a result, the dc output current of the BGC is equivalent to a disturbance, which affects the dynamic response of the dc bus voltage. For this reason, a dc output current feed-forward disturbance suppressing method for the BGC is introduced to smooth the dynamic response of the dc bus voltage. By analyzing the control system stability, the appropriate virtual inertia control parameters are selected. Finally, simulations and experiments verified the validity of the proposed control strategy.
Original languageEnglish
JournalI E E E Transactions on Industrial Electronics
Volume64
Issue number7
Pages (from-to)6005 - 6016
Number of pages12
ISSN0278-0046
DOIs
Publication statusPublished - Jul 2017

Keywords

  • Bidirectional grid-connected converter (BGC)
  • dc microgrid (DC-MG)
  • Disturbance suppressing
  • Power fluctuation
  • Small-signal modeling
  • Virtual inertia control

Fingerprint

Dive into the research topics of 'A Virtual Inertia Control Strategy for DC Microgrids Analogized with Virtual Synchronous Machines'. Together they form a unique fingerprint.

Cite this