Reduction Of Real Power Loss And Voltage Stability Enhancement By Salmo Salar Algorithm

This paper presents a new Salmo Salar (SS) algorithm for Solving Optimal Reactive Power Dispatch Problem. Salmo Salar Algorithm imitates the annual natural events happening in the North America. Millions of Salmo salar move about through mountain streams for spawning. Proposed SS algorithm utilizes...

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Main Author: Dr. K. Lenin
Format: Text
Language:unknown
Published: Zenodo 2017
Subjects:
Online Access:https://dx.doi.org/10.5281/zenodo.802345
https://zenodo.org/record/802345
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spelling ftdatacite:10.5281/zenodo.802345 2023-05-15T18:09:30+02:00 Reduction Of Real Power Loss And Voltage Stability Enhancement By Salmo Salar Algorithm Dr. K. Lenin 2017 https://dx.doi.org/10.5281/zenodo.802345 https://zenodo.org/record/802345 unknown Zenodo https://dx.doi.org/10.5281/zenodo.802346 Open Access Creative Commons Attribution 4.0 https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess CC-BY Modal Analysis; Optimal Reactive Power; Nature-Inspired Algorithm; Salmo Salar; Transmission Loss. Text Journal article article-journal ScholarlyArticle 2017 ftdatacite https://doi.org/10.5281/zenodo.802345 https://doi.org/10.5281/zenodo.802346 2021-11-05T12:55:41Z This paper presents a new Salmo Salar (SS) algorithm for Solving Optimal Reactive Power Dispatch Problem. Salmo Salar Algorithm imitates the annual natural events happening in the North America. Millions of Salmo salar move about through mountain streams for spawning. Proposed SS algorithm utilizes the behaviour of Salmo Salar to solve the optimal reactive power problem. Proposed (SS) 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 enhancing the voltage stability Text Salmo salar DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic Modal Analysis; Optimal Reactive Power; Nature-Inspired Algorithm; Salmo Salar; Transmission Loss.
spellingShingle Modal Analysis; Optimal Reactive Power; Nature-Inspired Algorithm; Salmo Salar; Transmission Loss.
Dr. K. Lenin
Reduction Of Real Power Loss And Voltage Stability Enhancement By Salmo Salar Algorithm
topic_facet Modal Analysis; Optimal Reactive Power; Nature-Inspired Algorithm; Salmo Salar; Transmission Loss.
description This paper presents a new Salmo Salar (SS) algorithm for Solving Optimal Reactive Power Dispatch Problem. Salmo Salar Algorithm imitates the annual natural events happening in the North America. Millions of Salmo salar move about through mountain streams for spawning. Proposed SS algorithm utilizes the behaviour of Salmo Salar to solve the optimal reactive power problem. Proposed (SS) 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 enhancing the voltage stability
format Text
author Dr. K. Lenin
author_facet Dr. K. Lenin
author_sort Dr. K. Lenin
title Reduction Of Real Power Loss And Voltage Stability Enhancement By Salmo Salar Algorithm
title_short Reduction Of Real Power Loss And Voltage Stability Enhancement By Salmo Salar Algorithm
title_full Reduction Of Real Power Loss And Voltage Stability Enhancement By Salmo Salar Algorithm
title_fullStr Reduction Of Real Power Loss And Voltage Stability Enhancement By Salmo Salar Algorithm
title_full_unstemmed Reduction Of Real Power Loss And Voltage Stability Enhancement By Salmo Salar Algorithm
title_sort reduction of real power loss and voltage stability enhancement by salmo salar algorithm
publisher Zenodo
publishDate 2017
url https://dx.doi.org/10.5281/zenodo.802345
https://zenodo.org/record/802345
genre Salmo salar
genre_facet Salmo salar
op_relation https://dx.doi.org/10.5281/zenodo.802346
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.802345
https://doi.org/10.5281/zenodo.802346
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