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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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FEATURED ARTICLE

Analysis of the Hybrid PSO-InC MPPT for Different Partial Shading Conditions, LEOPOLDINO, A. L. M., FREITAS, C. M., MONTEIRO, L. F. C.
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  3/2022 - 4

Different Concepts of Grid-Connected Microgrids with a PV System, Battery Energy Storage, Feed-in Tariff, and Load Management Using Fuzzy Logic

ZEC, L. See more information about ZEC, L. on SCOPUS See more information about ZEC, L. on IEEExplore See more information about ZEC, L. on Web of Science, MIKULOVIC, J. See more information about MIKULOVIC, J. on SCOPUS See more information about MIKULOVIC, J. on SCOPUS See more information about MIKULOVIC, J. on Web of Science
 
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Download PDF pdficon (1,657 KB) | Citation | Downloads: 664 | Views: 1,078

Author keywords
batteries, fuzzy logic, load management, microgrids, photovoltaic systems

References keywords
energy(32), management(18), power(12), fuzzy(12), system(10), microgrid(10), grid(10), systems(9), control(9), renewable(8)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2022-08-31
Volume 22, Issue 3, Year 2022, On page(s): 33 - 42
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2022.03004
Web of Science Accession Number: 000861021000004
SCOPUS ID: 85137727458

Abstract
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This paper presents different variants of smart grid-connected microgrids consisting of a photovoltaic (PV) system and batteries. Based on ten-minute data on the consumption of the distribution system, the estimation of the consumption diagram of one household was performed, as well as the determination of its unmanageable and manageable part. The fuzzy logic controller and algorithm for energy flow management were applied to manage the consumption of one household. The proposed load management provides a continuous power supply to a consumer from his PV system, batteries, and distribution grid, enabling the energy exchange with the grid and achieving financial gain. The input data for the fuzzy logic controller are the difference between the PV system power production and the household power consumption, the variation of the price of electricity on the market to its average value, and the state of charge of the battery. The output data from the fuzzy logic controller are the probabilities of engaging home appliances. The presented analysis was done for a period of one year for the city of Belgrade.


References | Cited By  «-- Click to see who has cited this paper

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References Weight

Web of Science® Citations for all references: 2,746 TCR
SCOPUS® Citations for all references: 3,585 TCR

Web of Science® Average Citations per reference: 98 ACR
SCOPUS® Average Citations per reference: 128 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2024-07-18 14:28 in 168 seconds.




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