Model predictive control for grid-tie wind-energy conversion system based PMSG

This article introduces a model predictive control (MPC) strategy for variable speed wind energy conversion system (VS_WECS) based permanent magnet synchronous generator (PMSG). The predictive control is applied for optimal operation of a PMSG wind turbine (WT). The PMSG is tied to the utility grid...

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Bibliographic Details
Published in:	2018 International Conference on Innovative Trends in Computer Engineering (ITCE) pp. 467 - 472
Main Authors:	Youssef, Abdel-Raheem, Mohamed, Essam E. M., Ali, Ahmed I. M.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01-02-2018
Subjects:	Cost function Mathematical model maximum power point tracking model predictive control PMSG Rotors Torque Wind energy Wind speed Wind turbines
Online Access:	Get full text
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Summary:	This article introduces a model predictive control (MPC) strategy for variable speed wind energy conversion system (VS_WECS) based permanent magnet synchronous generator (PMSG). The predictive control is applied for optimal operation of a PMSG wind turbine (WT). The PMSG is tied to the utility grid through a three-phase back-to-back (BTB) converter. The maximum power available from the WECS is harvested by applying the control algorithm to the machine side converter (MSC). The dc-link voltage regulation is achieved using the grid-side converter (GSC). A model of directly driven PMSG based variable-speed WECS is developed and imitated using MATLAB/SIMULINK environment. The MPC gives good dynamic performance under wide wind speed variation. The effectiveness of the proposed control approach is validated through extensive simulation results.
DOI:	10.1109/ITCE.2018.8316668