UNIQUE ALGORITHM FOR SOLVING OPTIMAL REACTIVE POWER DISPATCH PROBLEM

In this paper, a new algorithm based on krill herd actions, named as Antarctic krill Herd Algorithm (AKHA) is proposed for solving optimal reactive power dispatch problem. The AKHA algorithm is based on behavior of krill individuals. The minimum distance of each individual krill from food and from u...

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Main Author: Dr.K.Lenin
Format: Article in Journal/Newspaper
Language:unknown
Published: Zenodo 2017
Subjects:
Online Access:https://doi.org/10.5281/zenodo.345458
id ftzenodo:oai:zenodo.org:345458
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spelling ftzenodo:oai:zenodo.org:345458 2024-09-15T17:43:42+00:00 UNIQUE ALGORITHM FOR SOLVING OPTIMAL REACTIVE POWER DISPATCH PROBLEM Dr.K.Lenin 2017-03-04 https://doi.org/10.5281/zenodo.345458 unknown Zenodo https://doi.org/ https://doi.org/10.5281/zenodo.345458 oai:zenodo.org:345458 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode International Journal of Research -GRANTHAALAYAH, 5(2), 122-134, (2017-03-04) Antarctic Krill Herd Bio-Inspired Algorithm Optimal Reactive Power Dispatch Transmission Loss info:eu-repo/semantics/article 2017 ftzenodo https://doi.org/10.5281/zenodo.345458 2024-07-27T07:01:42Z In this paper, a new algorithm based on krill herd actions, named as Antarctic krill Herd Algorithm (AKHA) is proposed for solving optimal reactive power dispatch problem. The AKHA algorithm is based on behavior of krill individuals. The minimum distance of each individual krill from food and from uppermost density of the herd are deliberated as the foremost mission for the krill movement. Projected AKHA algorithm has been tested in standard IEEE 30 bus test system and simulation results shows clearly about the good performance of the proposed algorithm in reducing the real power loss and voltage stability also improved. Article in Journal/Newspaper Antarc* Antarctic Antarctic Krill Zenodo
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language unknown
topic Antarctic Krill Herd
Bio-Inspired Algorithm
Optimal Reactive Power Dispatch
Transmission Loss
spellingShingle Antarctic Krill Herd
Bio-Inspired Algorithm
Optimal Reactive Power Dispatch
Transmission Loss
Dr.K.Lenin
UNIQUE ALGORITHM FOR SOLVING OPTIMAL REACTIVE POWER DISPATCH PROBLEM
topic_facet Antarctic Krill Herd
Bio-Inspired Algorithm
Optimal Reactive Power Dispatch
Transmission Loss
description In this paper, a new algorithm based on krill herd actions, named as Antarctic krill Herd Algorithm (AKHA) is proposed for solving optimal reactive power dispatch problem. The AKHA algorithm is based on behavior of krill individuals. The minimum distance of each individual krill from food and from uppermost density of the herd are deliberated as the foremost mission for the krill movement. Projected AKHA algorithm has been tested in standard IEEE 30 bus test system and simulation results shows clearly about the good performance of the proposed algorithm in reducing the real power loss and voltage stability also improved.
format Article in Journal/Newspaper
author Dr.K.Lenin
author_facet Dr.K.Lenin
author_sort Dr.K.Lenin
title UNIQUE ALGORITHM FOR SOLVING OPTIMAL REACTIVE POWER DISPATCH PROBLEM
title_short UNIQUE ALGORITHM FOR SOLVING OPTIMAL REACTIVE POWER DISPATCH PROBLEM
title_full UNIQUE ALGORITHM FOR SOLVING OPTIMAL REACTIVE POWER DISPATCH PROBLEM
title_fullStr UNIQUE ALGORITHM FOR SOLVING OPTIMAL REACTIVE POWER DISPATCH PROBLEM
title_full_unstemmed UNIQUE ALGORITHM FOR SOLVING OPTIMAL REACTIVE POWER DISPATCH PROBLEM
title_sort unique algorithm for solving optimal reactive power dispatch problem
publisher Zenodo
publishDate 2017
url https://doi.org/10.5281/zenodo.345458
genre Antarc*
Antarctic
Antarctic Krill
genre_facet Antarc*
Antarctic
Antarctic Krill
op_source International Journal of Research -GRANTHAALAYAH, 5(2), 122-134, (2017-03-04)
op_relation https://doi.org/
https://doi.org/10.5281/zenodo.345458
oai:zenodo.org:345458
op_rights info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
op_doi https://doi.org/10.5281/zenodo.345458
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