Marine predators algorithm for solving single-objective optimal power flow.

This study presents a nature-inspired, and metaheuristic-based Marine predator algorithm (MPA) for solving the optimal power flow (OPF) problem. The significant insight of MPA is the widespread foraging strategy called the Levy walk and Brownian movements in ocean predators, including the optimal en...

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Autores principales:	Mohammad Zohrul Islam, Mohammad Lutfi Othman, Noor Izzri Abdul Wahab, Veerapandiyan Veerasamy, Saifur Rahman Opu, Abinaya Inbamani, Vishalakshi Annamalai
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/007afd7cb59b4957926866c50665b636
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spelling	oai:doaj.org-article:007afd7cb59b4957926866c50665b6362021-12-02T20:18:16ZMarine predators algorithm for solving single-objective optimal power flow.1932-620310.1371/journal.pone.0256050https://doaj.org/article/007afd7cb59b4957926866c50665b6362021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0256050https://doaj.org/toc/1932-6203This study presents a nature-inspired, and metaheuristic-based Marine predator algorithm (MPA) for solving the optimal power flow (OPF) problem. The significant insight of MPA is the widespread foraging strategy called the Levy walk and Brownian movements in ocean predators, including the optimal encounter rate policy in biological interaction among predators and prey which make the method to solve the real-world engineering problems of OPF. The OPF problem has been extensively used in power system operation, planning, and management over a long time. In this work, the MPA is analyzed to solve the single-objective OPF problem considering the fuel cost, real and reactive power loss, voltage deviation, and voltage stability enhancement index as objective functions. The proposed method is tested on IEEE 30-bus test system and the obtained results by the proposed method are compared with recent literature studies. The acquired results demonstrate that the proposed method is quite competitive among the nature-inspired optimization techniques reported in the literature.Mohammad Zohrul IslamMohammad Lutfi OthmanNoor Izzri Abdul WahabVeerapandiyan VeerasamySaifur Rahman OpuAbinaya InbamaniVishalakshi AnnamalaiPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 8, p e0256050 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Mohammad Zohrul Islam Mohammad Lutfi Othman Noor Izzri Abdul Wahab Veerapandiyan Veerasamy Saifur Rahman Opu Abinaya Inbamani Vishalakshi Annamalai Marine predators algorithm for solving single-objective optimal power flow.
description	This study presents a nature-inspired, and metaheuristic-based Marine predator algorithm (MPA) for solving the optimal power flow (OPF) problem. The significant insight of MPA is the widespread foraging strategy called the Levy walk and Brownian movements in ocean predators, including the optimal encounter rate policy in biological interaction among predators and prey which make the method to solve the real-world engineering problems of OPF. The OPF problem has been extensively used in power system operation, planning, and management over a long time. In this work, the MPA is analyzed to solve the single-objective OPF problem considering the fuel cost, real and reactive power loss, voltage deviation, and voltage stability enhancement index as objective functions. The proposed method is tested on IEEE 30-bus test system and the obtained results by the proposed method are compared with recent literature studies. The acquired results demonstrate that the proposed method is quite competitive among the nature-inspired optimization techniques reported in the literature.
format	article
author	Mohammad Zohrul Islam Mohammad Lutfi Othman Noor Izzri Abdul Wahab Veerapandiyan Veerasamy Saifur Rahman Opu Abinaya Inbamani Vishalakshi Annamalai
author_facet	Mohammad Zohrul Islam Mohammad Lutfi Othman Noor Izzri Abdul Wahab Veerapandiyan Veerasamy Saifur Rahman Opu Abinaya Inbamani Vishalakshi Annamalai
author_sort	Mohammad Zohrul Islam
title	Marine predators algorithm for solving single-objective optimal power flow.
title_short	Marine predators algorithm for solving single-objective optimal power flow.
title_full	Marine predators algorithm for solving single-objective optimal power flow.
title_fullStr	Marine predators algorithm for solving single-objective optimal power flow.
title_full_unstemmed	Marine predators algorithm for solving single-objective optimal power flow.
title_sort	marine predators algorithm for solving single-objective optimal power flow.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/007afd7cb59b4957926866c50665b636
work_keys_str_mv	AT mohammadzohrulislam marinepredatorsalgorithmforsolvingsingleobjectiveoptimalpowerflow AT mohammadlutfiothman marinepredatorsalgorithmforsolvingsingleobjectiveoptimalpowerflow AT noorizzriabdulwahab marinepredatorsalgorithmforsolvingsingleobjectiveoptimalpowerflow AT veerapandiyanveerasamy marinepredatorsalgorithmforsolvingsingleobjectiveoptimalpowerflow AT saifurrahmanopu marinepredatorsalgorithmforsolvingsingleobjectiveoptimalpowerflow AT abinayainbamani marinepredatorsalgorithmforsolvingsingleobjectiveoptimalpowerflow AT vishalakshiannamalai marinepredatorsalgorithmforsolvingsingleobjectiveoptimalpowerflow
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Marine predators algorithm for solving single-objective optimal power flow.

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