Model Predictive Control Analysis for the Battery Energy Storage System

Nimat Shamim, Anitha Subburaj, Stephen Bayne

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

3 Scopus citations

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.

Original languageEnglish
Title of host publicationProceedings - 2017 9th Annual IEEE Green Technologies Conference, GreenTech 2017
PublisherIEEE Computer Society
Pages34-38
Number of pages5
ISBN (Electronic)9781509045358
DOIs
StatePublished - May 9 2017
Event9th Annual IEEE Green Technologies Conference, GreenTech 2017 - Denver, United States
Duration: Mar 29 2017Mar 31 2017

Publication series

NameIEEE Green Technologies Conference
ISSN (Electronic)2166-5478

Conference

Conference9th Annual IEEE Green Technologies Conference, GreenTech 2017
CountryUnited States
CityDenver
Period03/29/1703/31/17

Keywords

  • Battery System
  • Model Predictive Control
  • PSCAD
  • Three Phase Converter

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