An Improved Nonlinear Droop Control Method Applied to DC Microgrid

Fan Li, Shengrong Zhuo, Yigeng Huangfu, Xiaopeng Wang, Shaolin Song, Ziyu Gan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Droop control can achieve load sharing among paralleled sources in DC microgrid. But pursuing high allocation accuracy will cause a voltage variation on the bus. To face the trade-off between better current sharing accuracy and slighter voltage variation in traditional linear droop control method, an improved nonlinear droop control method was proposed in this paper. Aiming at the limitation of existing nonlinear droop method, which is low current sharing accuracy in light load, the proposed fitting curve combined linear and nonlinear droop curves. With both linear and nonlinear properties, it can improve the performance of nonlinear control method especially in light load. The simulation was carried out in Matlab/Simulink, and the superiority of this method was verified.

Original languageEnglish
Title of host publication2023 IEEE Industry Applications Society Annual Meeting, IAS 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350320169
DOIs
StatePublished - 2023
Event2023 IEEE Industry Applications Society Annual Meeting, IAS 2023 - Nashville, United States
Duration: 29 Oct 20232 Nov 2023

Publication series

Name2023 IEEE Industry Applications Society Annual Meeting, IAS 2023

Conference

Conference2023 IEEE Industry Applications Society Annual Meeting, IAS 2023
Country/TerritoryUnited States
CityNashville
Period29/10/232/11/23

Keywords

  • curve fitting
  • DC microgrid
  • droop control
  • load sharing
  • nonlinear

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