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Artificial Immunity Based Wound Healing Algorithm for Power Loss Optimization in Smart GridsCINAR, M.   , KAYGUSUZ, A. |
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Author keywords
smart grids, load flow, optimization methods, power system analysis computing, power system simulation
References keywords
power(35), systems(17), reactive(15), optimal(12), dispatch(10), optimization(9), swarm(8), algorithm(8), electric(6), loss(5)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2020-02-28
Volume 20, Issue 1, Year 2020, On page(s): 11 - 18
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2020.01002
Web of Science Accession Number: 000518392600002
SCOPUS ID: 85083726686
Abstract
In this study, a human immune system based wound healing algorithm is mentioned to optimize power losses in the smart grids. The smart grids are a concept that uses communication and control techniques to increase the efficiency of today's electrical systems, provide bidirectional communication and allow instant monitoring of the grid. The wound healing algorithm is computationally simulated in the event of a possible injury to the human body and there are very few publications on the proposed algorithm when the literature review is performed. Therefore, the proposed algorithm is capable of removing this gap in the literature. The codes are written in the Matlab GUI environment and applied to the IEEE 30-busbar system and power losses are tried to be optimized. Simulation results show that the actual power loss is significantly reduced. The obtained results were compared with the results of other algorithms that are available in the literature. The proposed wound healing algorithm has given more optimum and superior solutions than the other algorithms compared in terms of calculation time and optimum power loss values and it was emphasized that it was a more effective method in providing the solution. |
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[1] Adaptive collaborative optimization of traffic network signal timing based on immune-fireworks algorithm and hierarchical strategy, Qiao, Zhimin, Ke, Liangjun, Zhang, Gewei, Wang, Xiaoqiang, Applied Intelligence, ISSN 0924-669X, Issue 10, Volume 51, 2021.
Digital Object Identifier: 10.1007/s10489-021-02256-y [CrossRef]
[2] Reactive power optimization based on adaptive multi-objective optimization artificial immune algorithm, Lian, Lian, Ain Shams Engineering Journal, ISSN 2090-4479, Issue 5, Volume 13, 2022.
Digital Object Identifier: 10.1016/j.asej.2021.101677 [CrossRef]
[3] Optimal tuning of a PID controller using a wound healing algorithm based on the clonal selection principle, Çınar, Mehmet, Transactions of the Institute of Measurement and Control, ISSN 0142-3312, Issue 9, Volume 44, 2022.
Digital Object Identifier: 10.1177/01423312211064658 [CrossRef]
Updated 2 days, 9 hours ago
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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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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.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
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.
