A sliding mode control and artificial neural network based MPPT for a direct grid‐connected photovoltaic source-Reference-Cited by-同舟云学术

A sliding mode control and artificial neural network based MPPT for a direct grid‐connected photovoltaic source

Published:2019-01-10 Issue:4 Volume:21 Page:1892-1905
ISSN:1561-8625
Container-title:Asian Journal of Control
language:en
Short-container-title:Asian J Control

Author:

Touil Sid‐Ahmed¹,Boudjerda Nasserdine¹^ORCID,Boubakir Ahsene²,El Khamlichi Drissi Khalil³

Affiliation:

1. Department of Electrical EngineeringMohammed Seddik BenYahia University Jijel Algeria

2. Automatic Laboratory of Jijel LAJMohammed Seddik BenYahia University Jijel Algeria

3. Pascal InstituteBlaise Pascal University Clermont Ferrand France

Publisher

Wiley

Subject

Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/asjc.2007

Reference27 articles.

1. A review of inverter topologies for single-phase grid-connected photovoltaic systems

2. Control of grid connected photovoltaic systems with microinverters: New theoretical design and numerical evaluation;Yahya A.;Asian J Control,2017

3. Maximum power point tracking algorithms for photovoltaic system – A review

4. Active and Reactive Power Control Techniques Based on Feedback Linearization and Fuzzy Logic for Three-Phase Grid-Connected Photovoltaic Inverters

5. S. A.Touil N.Boudjerda A.Boubakir A.Boudouda Sliding mode control of a grid‐connected photovoltaic via three‐phase inverter using incremental conductance MPPT Proc. 5th IEEE Int. Conf. Elect. Eng. (Boumerdes Algeria 2017).https://doi.org/10.1109/ICEE‐B.2017.8192220.

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