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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ftzenodo:oai:zenodo.org:802346 2023-06-06T11:58:54+02:00 REDUCTION OF REAL POWER LOSS AND VOLTAGE STABILITY ENHANCEMENT BY SALMO SALAR ALGORITHM Dr. K. Lenin 2017-06-01 https://zenodo.org/record/802346 https://doi.org/10.5281/zenodo.802346 unknown doi:10.5281/zenodo.802345 https://zenodo.org/record/802346 https://doi.org/10.5281/zenodo.802346 oai:zenodo.org:802346 info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode .INTERNATIONAL JOURNAL OF RESEARCH- GRANTHAALAYAH 5(5) 349-360 Modal Analysis Optimal Reactive Power Nature-Inspired Algorithm Salmo Salar Transmission Loss info:eu-repo/semantics/article publication-article 2017 ftzenodo https://doi.org/10.5281/zenodo.80234610.5281/zenodo.802345 2023-04-13T23:26:38Z 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 Article in Journal/Newspaper Salmo salar Zenodo |
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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 |
Article in Journal/Newspaper |
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 |
publishDate |
2017 |
url |
https://zenodo.org/record/802346 https://doi.org/10.5281/zenodo.802346 |
genre |
Salmo salar |
genre_facet |
Salmo salar |
op_source |
.INTERNATIONAL JOURNAL OF RESEARCH- GRANTHAALAYAH 5(5) 349-360 |
op_relation |
doi:10.5281/zenodo.802345 https://zenodo.org/record/802346 https://doi.org/10.5281/zenodo.802346 oai:zenodo.org:802346 |
op_rights |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode |
op_doi |
https://doi.org/10.5281/zenodo.80234610.5281/zenodo.802345 |
_version_ |
1767947967393693696 |