FCS-MPC Based Primary Control with Improved Performance for Islanded AC Microgrids

Yu Li, Zhenbin Zhang, S. Alireza Davari, Cristian Garcia, Jose Rodriguez

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

2 Citations (Scopus)

Abstract

In this paper, applying a full state-variable Finite Control Set Model Predictive Control (FCS-MPC) with improved droop controller for parallel operated power inverters in islanded microgrids is described. Virtual impedance and robust droop control are conducted as the outer loop to generate the appropriate reference. Then the FCS-MPC allows the power inverter to track the voltage and current reference with improved performance, considering the dynamic response, the plug-and-play capability, and the amicable realization which are challenging tasks for conventional method. The proposed control scheme has a more compact structure and simplifies the design procedure. Experimental measurements in different operation modes verified its effectiveness. Consequently, FCS-MPC manifests great potential to be a promising alternative for power inverter control of AC microgrids.

Original languageEnglish
Title of host publication2020 11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728158495
DOIs
Publication statusPublished - Feb 2020
Event11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020 - Tehran, Iran, Islamic Republic of
Duration: 4 Feb 20206 Feb 2020

Publication series

Name2020 11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020

Conference

Conference11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020
CountryIran, Islamic Republic of
CityTehran
Period4/02/206/02/20

Keywords

  • Droop control
  • microgrid
  • model predictive control
  • parallel-connected inverters

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Automotive Engineering
  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Control and Optimization

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