Minimizing Power Loss Using Modified Artificial Bee Colony Algorithm

Electrical energy losses are found in any part of the power system. In the power system, it is essential to minimize the real power loss in transmission lines. The voltage deviation at the load buses through controlling the reactive power flow is very important. This ensures the secured operation o...

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Formato:	article
Lenguaje:	EN
Publicado:	Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Perlis 2021
Materias:	Probabilities. Mathematical statistics QA273-280 Technology T Technology (General) T1-995
Acceso en línea:	https://doaj.org/article/ff5c28e555ad4e3eb9a7ffc7a9e8894e
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spelling	oai:doaj.org-article:ff5c28e555ad4e3eb9a7ffc7a9e8894e2021-11-06T02:20:26ZMinimizing Power Loss Using Modified Artificial Bee Colony Algorithm2600-8793https://doaj.org/article/ff5c28e555ad4e3eb9a7ffc7a9e8894e2021-09-01T00:00:00Zhttp://repeater.my/index.php/jcrinn/article/view/211https://doaj.org/toc/2600-8793 Electrical energy losses are found in any part of the power system. In the power system, it is essential to minimize the real power loss in transmission lines. The voltage deviation at the load buses through controlling the reactive power flow is very important. This ensures the secured operation of power systems regarding voltage stability and the economics of the process due to loss minimization. In this paper, the Modified Artificial Bee Colony (MABC) algorithm is implemented to solve the power system's optimal reactive power flow problem. Generator bus voltages, transformer tap positions, and settings of switched shunt of compensators are used as decision variables to control the reactive power flow. These control variable values are adjusted for loss reduction. MABC algorithm is tested on the standard IEEE-30 bus test system. The results are compared with Firefly algorithm (FA) and Artificial Bee Colony (ABC) algorithm method to prove the effectiveness of the newest algorithm. The power loss results are quite productive, and the algorithm is the most efficient than the other methods such as ABC algorithm and FA algorithm. These results are produced by Matlab 2017b. Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA PerlisarticleProbabilities. Mathematical statisticsQA273-280TechnologyTTechnology (General)T1-995ENJournal of Computing Research and Innovation, Vol 6, Iss 2 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Probabilities. Mathematical statistics QA273-280 Technology T Technology (General) T1-995
spellingShingle	Probabilities. Mathematical statistics QA273-280 Technology T Technology (General) T1-995 Minimizing Power Loss Using Modified Artificial Bee Colony Algorithm
description	Electrical energy losses are found in any part of the power system. In the power system, it is essential to minimize the real power loss in transmission lines. The voltage deviation at the load buses through controlling the reactive power flow is very important. This ensures the secured operation of power systems regarding voltage stability and the economics of the process due to loss minimization. In this paper, the Modified Artificial Bee Colony (MABC) algorithm is implemented to solve the power system's optimal reactive power flow problem. Generator bus voltages, transformer tap positions, and settings of switched shunt of compensators are used as decision variables to control the reactive power flow. These control variable values are adjusted for loss reduction. MABC algorithm is tested on the standard IEEE-30 bus test system. The results are compared with Firefly algorithm (FA) and Artificial Bee Colony (ABC) algorithm method to prove the effectiveness of the newest algorithm. The power loss results are quite productive, and the algorithm is the most efficient than the other methods such as ABC algorithm and FA algorithm. These results are produced by Matlab 2017b.
format	article
title	Minimizing Power Loss Using Modified Artificial Bee Colony Algorithm
title_short	Minimizing Power Loss Using Modified Artificial Bee Colony Algorithm
title_full	Minimizing Power Loss Using Modified Artificial Bee Colony Algorithm
title_fullStr	Minimizing Power Loss Using Modified Artificial Bee Colony Algorithm
title_full_unstemmed	Minimizing Power Loss Using Modified Artificial Bee Colony Algorithm
title_sort	minimizing power loss using modified artificial bee colony algorithm
publisher	Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Perlis
publishDate	2021
url	https://doaj.org/article/ff5c28e555ad4e3eb9a7ffc7a9e8894e
_version_	1718444017959567360

Minimizing Power Loss Using Modified Artificial Bee Colony Algorithm

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