<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

A non-linear control strategy for a PV conversion system with energy storage

استراتيجية تحكم غير خطية لنظام تحويل الطاقة الكهروضوئية مع تخزين الطاقة

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 01 Jan 2021Publisher:EDP SciencesJournal:E3S Web of Conferences, volume 297, page 1,023 (eissn: 2267-1242,

Authors: Ghizlane Traiki; Abdelmounime El Magri; Rachid Lajouad; Omar Bouattane;

doi: 10.1051/e3sconf/202129701023 , 10.60692/hpmcd-pc967 , 10.60692/60shj-1qk43

A non-linear control strategy for a PV conversion system with energy storage

- Summary
- Subjects
- Metrics

Abstract

A nonlinear control of a PV Energy Conversion System (PVECS) with energy storage system and maximum power extraction is presented. The control strategy is designed in two steps. Firstly, a MPPT algorithm is designed to tracking the maximum power point in variable irradiations, battery state of charge (SOC) and load changes. Then, thanks to its many advantages such as simplicity against parameter uncertainties, a Sliding Mode Control approach (SMC) is applied to control the standalone PV energy conversion system. Finally, the performances of MPPT techniques and SMC controller in the closed loop are checked using the MATLAB/SIMULINK.

Related Organizations

École Normale Supérieure de l'Enseignement Technique de Mohammedia
Morocco
University of Hassan II Casablanca
Morocco
University of Hassan II Casablanca
United Kingdom
Université Hassan II Mohammedia
Morocco

Keywords

Artificial intelligence, Power Electronics and Conversion Systems, Energy storage, Sliding mode control, solar pv, Energy Storage Systems, Engineering, battery state of charge, GE1-350, Inverter, Photovoltaic system, Maximum Power Point Tracking, Energy, Voltage Boosting Techniques, Control engineering, Physics, Statistics, sliding mode control, Power (physics), Energy transformation, Physical Sciences, Thermodynamics, Control and Synchronization in Microgrid Systems, MATLAB, dc/dc converter, MPPT Techniques, PV System, Control (management), Quantum mechanics, FOS: Electrical engineering, electronic engineering, information engineering, Control theory (sociology), FOS: Mathematics, Maximum power principle, Electrical and Electronic Engineering, Biology, Renewable Energy, Sustainability and the Environment, Controller (irrigation), Voltage, Photovoltaic Maximum Power Point Tracking Techniques, Computer science, Maximum power point tracking, Agronomy, Environmental sciences, Operating system, Control and Systems Engineering, mppt, Electrical engineering, Nonlinear system, Energy (signal processing), Mathematics

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).	0
	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).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average