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...

Full description

Bibliographic Details
Main Author: Dr.K.Lenin
Format: Text
Language:unknown
Published: Zenodo 2017
Subjects:
Online Access:https://dx.doi.org/10.5281/zenodo.345458
https://zenodo.org/record/345458
id ftdatacite:10.5281/zenodo.345458
record_format openpolar
spelling ftdatacite:10.5281/zenodo.345458 2023-05-15T13:49:58+02:00 Unique Algorithm For Solving Optimal Reactive Power Dispatch Problem Dr.K.Lenin 2017 https://dx.doi.org/10.5281/zenodo.345458 https://zenodo.org/record/345458 unknown Zenodo Open Access Creative Commons Attribution 4.0 https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess CC-BY Antarctic Krill Herd; Bio-Inspired Algorithm; Optimal Reactive Power Dispatch; Transmission Loss. Text Journal article article-journal ScholarlyArticle 2017 ftdatacite https://doi.org/10.5281/zenodo.345458 2021-11-05T12:55:41Z 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. Text Antarc* Antarctic Antarctic Krill DataCite Metadata Store (German National Library of Science and Technology) Antarctic
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
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 Text
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://dx.doi.org/10.5281/zenodo.345458
https://zenodo.org/record/345458
geographic Antarctic
geographic_facet Antarctic
genre Antarc*
Antarctic
Antarctic Krill
genre_facet Antarc*
Antarctic
Antarctic Krill
op_rights Open Access
Creative Commons Attribution 4.0
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
op_rightsnorm CC-BY
op_doi https://doi.org/10.5281/zenodo.345458
_version_ 1766252645163466752