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A Novel Control Approach Utilizing Neural Network for Efficient Microgrid Operation with Solar PV and Energy Storage SystemsJABBARI, A.   , KHAN, H. , MUSHTAQ, D. , SARWAR, M. , DURAIBI, S. , ALMALKI, K. J. , AHMED, W. , SIDDIQUI, A. S. |
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Author keywords
neural network, battery energy storage system, microgrid, DC-DC converter, ANFIS, MPPT
References keywords
power(20), energy(18), systems(14), control(14), microgrid(13), grid(12), management(9), electronics(7), strategy(6), optimal(6)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2024-08-31
Volume 24, Issue 3, Year 2024, On page(s): 13 - 22
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2024.03002
Web of Science Accession Number: 001306111400002
SCOPUS ID: 85203004430
Abstract
This article introduces a novel approach for controlling a single-phase grid-connected inverter using neural network technology. While previous studies have primarily focused on voltage control techniques to facilitate power transfer in such systems, this paper advocates for the application of artificial intelligence for enhanced efficiency. Specifically, the proposed control method employs a neural network trained for function approximation to optimize power exchange between the microgrid and the main power grid. To manage battery operations, a bidirectional converter is utilized, ensuring efficient charging and discharging. During grid integration mode, voltage regulation within the microgrid is overseen by the single-phase inverter, whereas boost converters take charge during isolation mode. Results demonstrate a considerable enhancement in power management between the microgrid and the grid, alongside effective voltage regulation of the DC bus. |
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
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Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.
