@inproceedings{374c65b901104013b224f2ec156fc9f0,
title = "Model Predictive Control Analysis for the Battery Energy Storage System",
abstract = "This paper describes the Model Predictive Control technique for three phase bi-directional converter to integrate a battery system with the grid. The paper presents an overview of different predictive control technologies. The paper describes the basic concept, operating principle, governing equations and control algorithm of model predictive control for the power converter. The control technique is analyzed to integrate a 1MWh battery system model with the grid. The analysis is done in PSCAD simulation environment for both steady state and fault scenarios. The simulation results are presented to show the effectiveness of Model Predictive Control technology for battery integration.",
keywords = "Battery System, Model Predictive Control, PSCAD, Three Phase Converter",
author = "Nimat Shamim and Anitha Subburaj and Stephen Bayne",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.; null ; Conference date: 29-03-2017 Through 31-03-2017",
year = "2017",
month = may,
day = "9",
doi = "10.1109/GreenTech.2017.11",
language = "English",
series = "IEEE Green Technologies Conference",
publisher = "IEEE Computer Society",
pages = "34--38",
booktitle = "Proceedings - 2017 9th Annual IEEE Green Technologies Conference, GreenTech 2017",
}