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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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) |
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Open Polar |
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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 |
_version_ |
1766182090853842944 |