Optimal Distribution of Reactive Power based on Shark Smell Optimization with Pareto Criterion in Power System
In recent years, the electrical industrial convert to a competitive market in some of the countries which is named a deregulated systems. To maintain the stability of power grids and reliable power transmission, in addition to providing active power, reactive power supply is also needed to improve t...
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Semnan University
2016-06-01
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Series: | مجله مدل سازی در مهندسی |
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Online Access: | https://modelling.semnan.ac.ir/article_1769_b5be003ca15ef2b4e42a81dc44d38383.pdf |
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author | Oveis Abedinia Nima Amjady |
author_facet | Oveis Abedinia Nima Amjady |
author_sort | Oveis Abedinia |
collection | DOAJ |
description | In recent years, the electrical industrial convert to a competitive market in some of the countries which is named a deregulated systems. To maintain the stability of power grids and reliable power transmission, in addition to providing active power, reactive power supply is also needed to improve the safety system should be optimized by the operation of the power system. In this paper, we proposed a new solution to management the reactive power which is presented as a long term and non-linear optimization problem. Hence, the planning and improving the power market based on optimal distribution of reactive power has been presented as an optimization problem. The mentioned problem is solved by a new meta-heuristic algorithm which is based on shark smell abilities named Shark Smell Optimization (SSO). This algorithm improved with Pareto criterion to increase the abilities of proposed strategy in nonlinear problem with different constrains. The effectiveness of the proposed method has been applied over tow power system case studies through the comparison with other techniques. |
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issn | 2008-4854 2783-2538 |
language | fas |
last_indexed | 2024-03-07T22:07:10Z |
publishDate | 2016-06-01 |
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series | مجله مدل سازی در مهندسی |
spelling | doaj.art-6122fcf116ec48998f3a986af0ff36142024-02-23T19:00:51ZfasSemnan Universityمجله مدل سازی در مهندسی2008-48542783-25382016-06-01144513314410.22075/jme.2017.17691769Optimal Distribution of Reactive Power based on Shark Smell Optimization with Pareto Criterion in Power SystemOveis Abedinia0Nima Amjady1semnan universitysemnan universityIn recent years, the electrical industrial convert to a competitive market in some of the countries which is named a deregulated systems. To maintain the stability of power grids and reliable power transmission, in addition to providing active power, reactive power supply is also needed to improve the safety system should be optimized by the operation of the power system. In this paper, we proposed a new solution to management the reactive power which is presented as a long term and non-linear optimization problem. Hence, the planning and improving the power market based on optimal distribution of reactive power has been presented as an optimization problem. The mentioned problem is solved by a new meta-heuristic algorithm which is based on shark smell abilities named Shark Smell Optimization (SSO). This algorithm improved with Pareto criterion to increase the abilities of proposed strategy in nonlinear problem with different constrains. The effectiveness of the proposed method has been applied over tow power system case studies through the comparison with other techniques.https://modelling.semnan.ac.ir/article_1769_b5be003ca15ef2b4e42a81dc44d38383.pdfreactive power distributionshark smell optimizationpareto criterionelectrical market planning |
spellingShingle | Oveis Abedinia Nima Amjady Optimal Distribution of Reactive Power based on Shark Smell Optimization with Pareto Criterion in Power System مجله مدل سازی در مهندسی reactive power distribution shark smell optimization pareto criterion electrical market planning |
title | Optimal Distribution of Reactive Power based on Shark Smell Optimization with Pareto Criterion in Power System |
title_full | Optimal Distribution of Reactive Power based on Shark Smell Optimization with Pareto Criterion in Power System |
title_fullStr | Optimal Distribution of Reactive Power based on Shark Smell Optimization with Pareto Criterion in Power System |
title_full_unstemmed | Optimal Distribution of Reactive Power based on Shark Smell Optimization with Pareto Criterion in Power System |
title_short | Optimal Distribution of Reactive Power based on Shark Smell Optimization with Pareto Criterion in Power System |
title_sort | optimal distribution of reactive power based on shark smell optimization with pareto criterion in power system |
topic | reactive power distribution shark smell optimization pareto criterion electrical market planning |
url | https://modelling.semnan.ac.ir/article_1769_b5be003ca15ef2b4e42a81dc44d38383.pdf |
work_keys_str_mv | AT oveisabedinia optimaldistributionofreactivepowerbasedonsharksmelloptimizationwithparetocriterioninpowersystem AT nimaamjady optimaldistributionofreactivepowerbasedonsharksmelloptimizationwithparetocriterioninpowersystem |