<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>

COPY SCRIPT

For further information contact us at helpdesk@openaire.eu

Experiment on Bidirectional Single Phase Converter Applying Model Predictive Current Controller

descriptionPublicationkeyboard_double_arrow_right Article , Journal , Other literature type 24 Mar 2016 Italy Publisher:MDPI AGJournal:Energies, volume 9, page 233 (eissn: 1996-1073,

Authors: D'ANTONA, GABRIELE; FARANDA, ROBERTO SEBASTIANO; HAFEZI, HOSSEIN; Bugliesi, Marco;

doi: 10.3390/en9040233

handle: 11311/981170

Experiment on Bidirectional Single Phase Converter Applying Model Predictive Current Controller

- Summary
- Subjects
- Metrics

Abstract

A bidirectional converter able to manage storage is a basic power electronics device, and it is a major component of renewable energy sources, micro grid and also the smart grid concept. In this paper, single-phase bidirectional converter topology is discussed. The state space model has been derived, and a simple model based predictive current controller has been utilized to control the inverter. Control block diagrams have been designed with MATLAB and simulation results are presented and compared with experimental ones, giving credibility to the derived model and the designed control method.

Country

Italy

Related Organizations

Polytechnic University of Milan
Italy

Keywords

single-phase converter; model predictive control; Pulse Width Modulation (PWM); micro grid; smart grid

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	10
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%