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PUBLISHER

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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2024-Jun-20
Clarivate Analytics published the InCites Journal Citations Report for 2023. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.700 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.600.

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2022-Jun-16
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  2/2022 - 10
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Impact of Photovoltaic Systems Allocation on Congestion in Distribution Network: Iraq Case Study

BADR, H. M. See more information about BADR, H. M. on SCOPUS See more information about BADR, H. M. on IEEExplore See more information about BADR, H. M. on Web of Science, ALI, R. S. See more information about  ALI, R. S. on SCOPUS See more information about  ALI, R. S. on SCOPUS See more information about ALI, R. S. on Web of Science, MAHMOOD, J. R. See more information about MAHMOOD, J. R. on SCOPUS See more information about MAHMOOD, J. R. on SCOPUS See more information about MAHMOOD, J. R. on Web of Science
 
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Download PDF pdficon (1,568 KB) | Citation | Downloads: 667 | Views: 1,333

Author keywords
distributed power generation, optimization methods, photovoltaic systems, power demand, voltage control

References keywords
distribution(11), optimal(10), generation(10), power(9), photovoltaic(9), algorithm(9), solar(7), location(7), distributed(7), systems(6)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2022-05-31
Volume 22, Issue 2, Year 2022, On page(s): 79 - 86
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2022.02010
Web of Science Accession Number: 000810486800010
SCOPUS ID: 85131723748

Abstract
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As Photovoltaic Distributed Generation (PVDG) becomes increasingly popular in modern power systems, it has raised concerns for system operators, despite its remarkable and valuable opportunities, such as reduction in voltage deviation and active power loss. On another side, random distribution of PVDGs in the distribution network can lead to system security violations and congestion. Optimal allocation of PVDGs is one of the efficient methods to enhance the power systems' efficiency. This paper proposes a new version of the Modified Camel Algorithm (NMCA) based on the L technique to optimize PVDGs. The proposed technique can retain a good solution group for each generation due to the expansion in the search space. In order to verify the validity of the NMCA, it has been tested with IEEE 69- bus network and the Baghdad distribution network built a simulation model for the Baghdad distribution network. The simulation model has been created depending on its obtained load profiles, feeders, voltage, and current settings in addition to available PVDG stations in this grid to determine optimum allocation PVDGs in the network.


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Stefan cel Mare University of Suceava, Romania


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