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General Information
ISSN:
2315-4462 (Print); 2373-3594 (Online)
Abbreviated Title:
Int. J Smart Grid Clean Energy
Frequency:
4 issues per year
Editor-in-Chief:
Prof. Danny Sutanto
DOI:
10.12720/sgce
Indexed by:
Inspec (IET),
CNKI
, Crossref, Google Scholar,
etc
.
Editor-in-Chief
Prof. Danny Sutanto
University of Wollongong, Australia
I am very excited to serve as the first Editor-in-Chief of the Journal of Smart Grid and Clean Energy (SGCE)and hope that the publication can enrich the readers’ experience .... [
Read More
]
What's New
2024-03-28
March 28th, 2024 News! Vol. 13, No. 1 has been published online!
2024-01-04
IJSGCE will adopt Article-by-Article Work Flow. For the quarterly journal, each issue will be released at the end of the issue month.
2023-10-09
October 9th, 2023 News! Vol. 11, No. 4 has been published online!
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2020
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Vol. 9, No. 3, May 2020
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Intelligent management of multi renewable energy sources using fuzzy logic control
Author(s): Riadh Habour
a
, Boumediene Allaoua
b
a
TAHRI Mohamed University, Department of Electrical Engineering, CAOSEE Laboratory, Bechar, Algeria.
b
TAHRI Mohamed Universit , Department of Electrical Engineering, Smart Grids and Renewable Energies Laboratory, Bechar, Algeria
International Journal of Smart Grid and Clean Energy
, vol. 9, no. 3, May 2020: pp. 675-688
ISSN: 2315-4462 (Print)
ISSN: 2373-3594 (Online)
Digital Object Identifier: 10.12720/sgce.9.3.675-688
Abstract
: The renewable resources integration in power system became primordial interest, their integration reduces global warming especially greenhouse gas. The clean energies integration for standalone power systems need a choose of adapted renewable energy according to the weather conditions, each region and also according to the installation cost, generally solar and wind resources are complemented. The intelligent management is necessary for this hybrid system using a modern technical method which is able to manage the power flow to electric load and/or store exceeding of power production in storage dispositive, it need also an adapted architecture in order to get a good power quality and to reduce the global cost of the system, in this context, an intelligent energy management control is necessary, the intelligent supervisory based on fuzzy logic control must manage the system in order to answer several stakes: the energy efficiency of the system for the smooth-running production-consumption and the service continuity and reliability. This work provides a fuzzy logic to control multisource system's according to the weather conditions and to manage the power flow generation. The study was implemented under MATLAB/Simulink and the simulation results with fuzzy logic control are compared with another result with maximum power point tracking based proportional integral derivative controller, the study is applied in Bechar (in the south of Algeria). The results show a very good performance, the power quality produced is better when the system is managed by a fuzzy logic control, this intelligent management control is able to use the energy produced to supply the load and/or to battery charge without a power loss and discontinuity.
Keywords
: energy management, fuzzy logic controller, hybrid system, multi-source system, renewable energies, standalone system
Full Paper.pdf
Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License (
CC BY-NC-ND 4.0
), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.
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