REAL POWER LOSS MINIMIZATION BY MUTUAL MAMMAL BEHAVIOR ALGORITHM
This paper presents a Mutual Mammal Behavior (MM) algorithm for solving Reactive power problem in power system. Modal analysis of the system is used for static voltage stability assessment. Loss minimization is taken is taken as main objective. Generator terminal voltages, reactive power generation...
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ftzenodo:oai:zenodo.org:583889 2024-09-15T18:00:03+00:00 REAL POWER LOSS MINIMIZATION BY MUTUAL MAMMAL BEHAVIOR ALGORITHM Dr.K.Lenin 2017-06-01 https://doi.org/10.5281/zenodo.583889 unknown Zenodo https://doi.org/10.5281/zenodo.601477 https://doi.org/10.5281/zenodo.583889 oai:zenodo.org:583889 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(5), 88-98, (2017-06-01) Reactive Power Transmission Loss Mutual Mammal Behavior Optimization info:eu-repo/semantics/article 2017 ftzenodo https://doi.org/10.5281/zenodo.58388910.5281/zenodo.601477 2024-07-27T05:13:36Z This paper presents a Mutual Mammal Behavior (MM) algorithm for solving Reactive power problem in power system. Modal analysis of the system is used for static voltage stability assessment. Loss minimization is taken is taken as main objective. Generator terminal voltages, reactive power generation of the capacitor banks and tap changing transformer setting are taken as the optimization variables. A Meta heuristic algorithm for global optimization called the Mutual Mammal Behavior (MM) is introduced. Mammal groups like Carnivores, African lion, Cheetah, Dingo Fennec Fox, Moose, Polar Bear, Sea Otter, Blue Whale, Bottlenose Dolphin exhibit a variety of behaviors including swarming about a food source, milling around a central location, or migrating over large distances in aligned groups. These Mutual behaviors are often advantageous to groups, allowing them to increase their harvesting efficiency, to follow better migration routes, to improve their aerodynamic, and to avoid predation. In the proposed algorithm, the searcher agents emulate a group of Mammals which interact with each other based on the biological laws of Mutual motion. MM powerful stochastic optimization technique has been utilized to solve the reactive power optimization problem. In order to evaluate up the performance of the proposed algorithm, it has been tested on Standard IEEE 57,118 bus systems. Proposed MM algorithm out performs other reported standard algorithm’s in reducing real power loss. Article in Journal/Newspaper Blue whale Zenodo |
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Reactive Power Transmission Loss Mutual Mammal Behavior Optimization |
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Reactive Power Transmission Loss Mutual Mammal Behavior Optimization Dr.K.Lenin REAL POWER LOSS MINIMIZATION BY MUTUAL MAMMAL BEHAVIOR ALGORITHM |
topic_facet |
Reactive Power Transmission Loss Mutual Mammal Behavior Optimization |
description |
This paper presents a Mutual Mammal Behavior (MM) algorithm for solving Reactive power problem in power system. Modal analysis of the system is used for static voltage stability assessment. Loss minimization is taken is taken as main objective. Generator terminal voltages, reactive power generation of the capacitor banks and tap changing transformer setting are taken as the optimization variables. A Meta heuristic algorithm for global optimization called the Mutual Mammal Behavior (MM) is introduced. Mammal groups like Carnivores, African lion, Cheetah, Dingo Fennec Fox, Moose, Polar Bear, Sea Otter, Blue Whale, Bottlenose Dolphin exhibit a variety of behaviors including swarming about a food source, milling around a central location, or migrating over large distances in aligned groups. These Mutual behaviors are often advantageous to groups, allowing them to increase their harvesting efficiency, to follow better migration routes, to improve their aerodynamic, and to avoid predation. In the proposed algorithm, the searcher agents emulate a group of Mammals which interact with each other based on the biological laws of Mutual motion. MM powerful stochastic optimization technique has been utilized to solve the reactive power optimization problem. In order to evaluate up the performance of the proposed algorithm, it has been tested on Standard IEEE 57,118 bus systems. Proposed MM algorithm out performs other reported standard algorithm’s in reducing real power loss. |
format |
Article in Journal/Newspaper |
author |
Dr.K.Lenin |
author_facet |
Dr.K.Lenin |
author_sort |
Dr.K.Lenin |
title |
REAL POWER LOSS MINIMIZATION BY MUTUAL MAMMAL BEHAVIOR ALGORITHM |
title_short |
REAL POWER LOSS MINIMIZATION BY MUTUAL MAMMAL BEHAVIOR ALGORITHM |
title_full |
REAL POWER LOSS MINIMIZATION BY MUTUAL MAMMAL BEHAVIOR ALGORITHM |
title_fullStr |
REAL POWER LOSS MINIMIZATION BY MUTUAL MAMMAL BEHAVIOR ALGORITHM |
title_full_unstemmed |
REAL POWER LOSS MINIMIZATION BY MUTUAL MAMMAL BEHAVIOR ALGORITHM |
title_sort |
real power loss minimization by mutual mammal behavior algorithm |
publisher |
Zenodo |
publishDate |
2017 |
url |
https://doi.org/10.5281/zenodo.583889 |
genre |
Blue whale |
genre_facet |
Blue whale |
op_source |
INTERNATIONAL JOURNAL OF RESEARCH- GRANTHAALAYAH, 5(5), 88-98, (2017-06-01) |
op_relation |
https://doi.org/10.5281/zenodo.601477 https://doi.org/10.5281/zenodo.583889 oai:zenodo.org:583889 |
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.58388910.5281/zenodo.601477 |
_version_ |
1810437164787302400 |