Heat transfer and simulated coronary circulation system optimization algorithms for real power loss reduction

In this paper, the heat transfer optimization (HTO) algorithm and simulated coronary circulation system (SCCS) optimization algorithm has been designed for Real power loss reduction. In the projected HTO algorithm, every agent is measured as a cooling entity and surrounded by another agent, like whe...

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Autor principal: Kanagasabai L.
Formato: article
Lenguaje:EN
RU
UK
Publicado: Sumy State University 2021
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Acceso en línea:https://doi.org/10.21272/jes.2021.8(1).e1
https://doaj.org/article/0e0b7fa10f234cafafb39ef3006a494f
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spelling oai:doaj.org-article:0e0b7fa10f234cafafb39ef3006a494f2021-11-06T11:47:21ZHeat transfer and simulated coronary circulation system optimization algorithms for real power loss reductionhttps://doi.org/10.21272/jes.2021.8(1).e12312-24982414-9381https://doaj.org/article/0e0b7fa10f234cafafb39ef3006a494f2021-06-01T00:00:00Zhttp://jes.sumdu.edu.ua/wp-content/uploads/2021/06/jes_8_1_2021_E1-E8.pdfhttps://doaj.org/toc/2312-2498https://doaj.org/toc/2414-9381In this paper, the heat transfer optimization (HTO) algorithm and simulated coronary circulation system (SCCS) optimization algorithm has been designed for Real power loss reduction. In the projected HTO algorithm, every agent is measured as a cooling entity and surrounded by another agent, like where heat transfer will occur. Newton’s law of cooling temperature will be updated in the proposed HTO algorithm. Each value of the object is computed through the objective function. Then the objects are arranged in increasing order concerning the objective function value. This projected algorithm time “t” is linked with iteration number, and the value of “t” for every agent is computed. Then SCCS optimization algorithm is projected to solve the optimal reactive power dispatch problem. Actions of human heart veins or coronary artery development have been imitated to design the algorithm. In the projected algorithm candidate solution is made by considering the capillaries. Then the coronary development factor (CDF) will appraise the solution, and population space has been initiated arbitrarily. Then in the whole population, the most excellent solution will be taken as stem, and it will be the minimum value of the Coronary development factor. Then the stem crown production is called the divergence phase, and the other capillaries’ growth is known as the clip phase. Based on the arteries leader’s coronary development factor (CDF), the most excellent capillary leader’s (BCL) growth will be there. With and without L-index (voltage stability), HTO and SCCS algorithm’s validity are verified in IEEE 30 bus system. Power loss minimized, voltage deviation also reduced, and voltage stability index augmented.Kanagasabai L.Sumy State Universityarticleoptimal reactive powertransmission lossheat transfersimulated coronary circulation systemEngineering (General). Civil engineering (General)TA1-2040ENRUUKЖурнал інженерних наук, Vol 8, Iss 1, Pp E1-E8 (2021)
institution DOAJ
collection DOAJ
language EN
RU
UK
topic optimal reactive power
transmission loss
heat transfer
simulated coronary circulation system
Engineering (General). Civil engineering (General)
TA1-2040
spellingShingle optimal reactive power
transmission loss
heat transfer
simulated coronary circulation system
Engineering (General). Civil engineering (General)
TA1-2040
Kanagasabai L.
Heat transfer and simulated coronary circulation system optimization algorithms for real power loss reduction
description In this paper, the heat transfer optimization (HTO) algorithm and simulated coronary circulation system (SCCS) optimization algorithm has been designed for Real power loss reduction. In the projected HTO algorithm, every agent is measured as a cooling entity and surrounded by another agent, like where heat transfer will occur. Newton’s law of cooling temperature will be updated in the proposed HTO algorithm. Each value of the object is computed through the objective function. Then the objects are arranged in increasing order concerning the objective function value. This projected algorithm time “t” is linked with iteration number, and the value of “t” for every agent is computed. Then SCCS optimization algorithm is projected to solve the optimal reactive power dispatch problem. Actions of human heart veins or coronary artery development have been imitated to design the algorithm. In the projected algorithm candidate solution is made by considering the capillaries. Then the coronary development factor (CDF) will appraise the solution, and population space has been initiated arbitrarily. Then in the whole population, the most excellent solution will be taken as stem, and it will be the minimum value of the Coronary development factor. Then the stem crown production is called the divergence phase, and the other capillaries’ growth is known as the clip phase. Based on the arteries leader’s coronary development factor (CDF), the most excellent capillary leader’s (BCL) growth will be there. With and without L-index (voltage stability), HTO and SCCS algorithm’s validity are verified in IEEE 30 bus system. Power loss minimized, voltage deviation also reduced, and voltage stability index augmented.
format article
author Kanagasabai L.
author_facet Kanagasabai L.
author_sort Kanagasabai L.
title Heat transfer and simulated coronary circulation system optimization algorithms for real power loss reduction
title_short Heat transfer and simulated coronary circulation system optimization algorithms for real power loss reduction
title_full Heat transfer and simulated coronary circulation system optimization algorithms for real power loss reduction
title_fullStr Heat transfer and simulated coronary circulation system optimization algorithms for real power loss reduction
title_full_unstemmed Heat transfer and simulated coronary circulation system optimization algorithms for real power loss reduction
title_sort heat transfer and simulated coronary circulation system optimization algorithms for real power loss reduction
publisher Sumy State University
publishDate 2021
url https://doi.org/10.21272/jes.2021.8(1).e1
https://doaj.org/article/0e0b7fa10f234cafafb39ef3006a494f
work_keys_str_mv AT kanagasabail heattransferandsimulatedcoronarycirculationsystemoptimizationalgorithmsforrealpowerlossreduction
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