Model predictive control of parallel distributed generation inverters in smart microgrids

Kerui Li, Jiefeng Hu, Manxin Chen

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

3 Citations (Scopus)

Abstract

In this paper, the parallel-connected three-phase voltage source inverter system is modeled and a state space model is obtained. A control algorithm based on finite control set model predictive control (FS-MPC) is proposed. It is applied to the distributed generation (DG) inverters that are able to provide high power quality, load current sharing and plug-n-play operation in microgrids. In this algorithm, the control objectives (voltage tracking and current sharing) are integrated into a weighted cost function. To reduce the computational burden, an alternate calculation scheme is adopted. Analysis and testing results verify the effectiveness and show the advantages of the proposed algorithm.
Original languageEnglish
Title of host publication2016 IEEE 8th International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016
PublisherIEEE
Pages3414-3418
Number of pages5
ISBN (Electronic)9781509012107
DOIs
Publication statusPublished - 13 Jul 2016
Externally publishedYes
Event8th IEEE International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016 - Hefei, China
Duration: 22 May 201626 May 2016

Conference

Conference8th IEEE International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016
Country/TerritoryChina
CityHefei
Period22/05/1626/05/16

Keywords

  • alternate calculation
  • FS-MPC
  • state space model

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Control and Optimization

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