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Model Predictive Control of a Grid Side Inverter for PMSG Based Wind Energy Conversion System
conference contribution
posted on 2020-01-01, 00:00 authored by Mohammad Kamruzzaman Khan Prince, Enamul HaqueEnamul Haque, Mohammad Taufiqul ArifMohammad Taufiqul Arif, Ameen GargoomAmeen Gargoom, Aman Maung Than OoAman Maung Than OoThis 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.
History
Event
Australasian Universities Power Engineering Conference (2020 : online and face to face Hobart, Tas.)Series
Australasian Universities Power Engineering ConferencePagination
1 - 6Publisher
IEEELocation
Online and Hobart, Tas.Place of publication
Piscataway, N.J.Start date
2020-11-29End date
2020-12-02ISBN-13
9781922352767Publication classification
E1 Full written paper - refereedEditor/Contributor(s)
Michael NegnevitskyTitle of proceedings
AUPEC 2020 : Power our energy : Proceedings of the Australasian Universities Power Engineering 2020 ConferenceUsage metrics
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