A Decentralized Adaptive Control Method for Frequency Regulation and Power Sharing in Autonomous Microgrids

Rasool Heydari, Yousef Khayat, Mobin Naderi, Amjad Anvari-Moghaddam, Tomislav Dragicevic, Frede Blaabjerg

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

19 Citations (Scopus)
154 Downloads (Pure)

Abstract

In this paper, a novel decentralized control structure is proposed to compensate voltage and frequency deviations of an ac microgrid (MG) with higher bandwidth compared to the conventional control structure with no need for a communication network. This approach is realized by firstly employing finite control set model predictive control of voltage source converter at the primary control level. Then, an adaptive droop control is presented to keep the voltage and frequency of the MG stable in steady state and serve as a secondary level of hierarchical control. Therefore, the MG voltage and frequency are restored to the nominal value with a decentralized communication-free control structure. Simulation results verify the accurate frequency and voltage restoration as well as fast power-sharing during the transient and steady-state performance with no need for communication infrastructure.
Original languageEnglish
Title of host publicationProceedings of 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE)
Number of pages6
PublisherIEEE Press
Publication dateJun 2019
Pages2427-2432
Article number8781102
ISBN (Print)978-1-7281-3667-7
ISBN (Electronic)978-1-7281-3666-0
DOIs
Publication statusPublished - Jun 2019
Event2019 IEEE 28th International Symposium on Industrial Electronics (ISIE) - Vancouver, Canada
Duration: 12 Jun 201914 Jun 2019

Conference

Conference2019 IEEE 28th International Symposium on Industrial Electronics (ISIE)
Country/TerritoryCanada
CityVancouver
Period12/06/201914/06/2019
SeriesIndustrial Electronics (ISIE), IEEE International Symposium on
ISSN2163-5137

Keywords

  • Adaptive droop
  • Frequency control
  • Power sharing
  • Microgrid
  • Model predictive control

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