Model predictive control of a grid side inverter for PMSG based wind energy conversion system

M. K. K. Prince*, M. E. Haque, M. T. Arif, A. Gargoom, A. M. T. Oo

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

This paper presents a model predictive control (MPC) of the grid side inverter for PMSG based wind energy conversion system (WECS). The control objectives include-(i) regulation of the dc-link voltage, (ii) control of the active and reactive power flow into the grid and (iii) inverter switching frequency minimization. All the control goals are incorporated to the quadratic cost function and suitable switching states are predicted based on the minimum value of the cost function. The optimum switching state has been selected and applied to the inverter directly. A heuristic approach is adopted to choose the weighting factors which in turn minimizes the variations of the converter switching frequency. The effectiveness of the control strategy has been verified by the rigorous simulation studies using Matlab/SimPowerSystem.

Original languageEnglish
Title of host publication2020 Australasian Universities Power Engineering Conference (AUPEC)
Subtitle of host publicationconference proceedings
EditorsMichael Negnevitsky
Place of PublicationTasmania, Australia
PublisherUniversity of Tasmania
Number of pages6
ISBN (Electronic)9781922352767
ISBN (Print)9781665425407
Publication statusPublished - 2020
Externally publishedYes
Event2020 Australasian Universities Power Engineering Conference, AUPEC 2020 - Hobart, Australia
Duration: 29 Nov 20203 Dec 2020

Publication series

Name
ISSN (Print)2474-1493
ISSN (Electronic)2474-1507

Conference

Conference2020 Australasian Universities Power Engineering Conference, AUPEC 2020
Country/TerritoryAustralia
CityHobart
Period29/11/203/12/20

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