A Comparative Study of Vector Control and Model Predictive Control Technique for Grid Connected Battery System

International Journal of Research and Engineering

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Title A Comparative Study of Vector Control and Model Predictive Control Technique for Grid Connected Battery System
Creator Shamim, Nimat
Noureen, Subrina Sultana
Bilbao, Argenis
Subburaj, Anitha Sarah
Bayne, Stephen
Description Advancements made to battery energy storage technologies have led to increasing integration of battery systems with the grid. This paper presents a comparative study of the well-established vector control technique and the model predictive current control technique as applied to the grid connected battery systems. An electrical equivalent model of the battery is modeled and integrated with the grid using a three- phase bidirectional converter. The comparative study is shown for bidirectional flow of power to charge/discharge the battery from the grid. Also, the effects of model predictive control versus vector control technique are analyzed at an event of grid fault. Asymmetrical and symmetrical grid fault is considered for the comparison. All the modeling and simulation is performed in PSCADTM/EMTDCTM. The results are plotted using MATLAB R2017a. The results show that the model predictive control technique performs as good as the vector control technique for a battery connected grid system.
Publisher IJRE Publisher
Date 2018-02-10
Type info:eu-repo/semantics/article
Peer-reviewed Article
Format application/pdf
Identifier https://digital.ijre.org/index.php/int_j_res_eng/article/view/322
Source International Journal of Research and Engineering; Vol 5 No 1 (2018): January 2018 Edition; 287-295
Language eng
Relation https://digital.ijre.org/index.php/int_j_res_eng/article/view/322/291
Rights Copyright (c) 2018 Nimat Shamim, Subrina Sultana Noureen, Argenis Bilbao, Anitha Sarah Subburaj, Stephen Bayne

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