Interactive artificial ecosystem algorithm for solving power management optimizations
Introduction. Power planning and management of practical power systems considering the integration and coordination of various FACTS devices is a vital research area. Recently, several metaheuristic methods have been developed and applied to solve various optimization problems. Among these methods,...
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| Format: | Article |
| Language: | English |
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National Technical University "Kharkiv Polytechnic Institute"
2022-11-01
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| Series: | Electrical engineering & Electromechanics |
| Subjects: | |
| Online Access: | http://eie.khpi.edu.ua/article/view/255850/262471 |
| _version_ | 1797988660467990528 |
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| author | B. Mahdad K. Srairi |
| author_facet | B. Mahdad K. Srairi |
| author_sort | B. Mahdad |
| collection | DOAJ |
| description | Introduction. Power planning and management of practical power systems considering the integration and coordination of various FACTS devices is a vital research area. Recently, several metaheuristic methods have been developed and applied to solve various optimization problems. Among these methods, an artificial ecosystem based optimization has been successfully proposed and applied to solve various industrial and planning problems. The novelty of the work consists in creating an interactive process search between diversification and intensification within the standard artificial ecosystem based optimization. The concept of the introduced variant is based on creating dynamic interaction between production operator and consumer operator during search process. Purpose. This paper introduces an interactive artificial ecosystem based optimization to solve with accuracy the multi objective power management optimization problems. Methods. The solution of the problem was carried out using MATLAB program and the developed package is based on combining the proposed metaheuristic method and the power flow tool based Newton-Raphson algorithm. Results. Obtained results confirmed that the proposed optimizer tool may be suitable to solve individually and simultaneously various objective functions such as the total fuel cost, the power losses and the voltage deviation. Practical value. The efficiency of the proposed variant in terms of solution quality and convergence behavior has been validated on two practical electric test systems: the IEEE-30-bus, and the IEEE-57-bus. A statistical comparative study with critical review is elaborated and intensively compared to various recent metaheuristic techniques confirm the competitive aspect and particularity of the proposed optimizer tool in solving with accuracy the power management considering various objective functions.
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| first_indexed | 2024-04-11T08:07:41Z |
| format | Article |
| id | doaj.art-07f6d31fe3c5441fab60f2b26d7c6ff5 |
| institution | Directory Open Access Journal |
| issn | 2074-272X 2309-3404 |
| language | English |
| last_indexed | 2024-04-11T08:07:41Z |
| publishDate | 2022-11-01 |
| publisher | National Technical University "Kharkiv Polytechnic Institute" |
| record_format | Article |
| series | Electrical engineering & Electromechanics |
| spelling | doaj.art-07f6d31fe3c5441fab60f2b26d7c6ff52022-12-22T04:35:28ZengNational Technical University "Kharkiv Polytechnic Institute"Electrical engineering & Electromechanics2074-272X2309-34042022-11-016536610.20998/2074-272X.2022.6.09Interactive artificial ecosystem algorithm for solving power management optimizationsB. Mahdad0https://orcid.org/0000-0001-6726-9352K. Srairi1https://orcid.org/0000-0002-4286-6078University of Biskra, AlgeriaUniversity of Biskra, AlgeriaIntroduction. Power planning and management of practical power systems considering the integration and coordination of various FACTS devices is a vital research area. Recently, several metaheuristic methods have been developed and applied to solve various optimization problems. Among these methods, an artificial ecosystem based optimization has been successfully proposed and applied to solve various industrial and planning problems. The novelty of the work consists in creating an interactive process search between diversification and intensification within the standard artificial ecosystem based optimization. The concept of the introduced variant is based on creating dynamic interaction between production operator and consumer operator during search process. Purpose. This paper introduces an interactive artificial ecosystem based optimization to solve with accuracy the multi objective power management optimization problems. Methods. The solution of the problem was carried out using MATLAB program and the developed package is based on combining the proposed metaheuristic method and the power flow tool based Newton-Raphson algorithm. Results. Obtained results confirmed that the proposed optimizer tool may be suitable to solve individually and simultaneously various objective functions such as the total fuel cost, the power losses and the voltage deviation. Practical value. The efficiency of the proposed variant in terms of solution quality and convergence behavior has been validated on two practical electric test systems: the IEEE-30-bus, and the IEEE-57-bus. A statistical comparative study with critical review is elaborated and intensively compared to various recent metaheuristic techniques confirm the competitive aspect and particularity of the proposed optimizer tool in solving with accuracy the power management considering various objective functions. http://eie.khpi.edu.ua/article/view/255850/262471artificial ecosystem based optimizationpower managementintensification and diversificationfacts devices |
| spellingShingle | B. Mahdad K. Srairi Interactive artificial ecosystem algorithm for solving power management optimizations Electrical engineering & Electromechanics artificial ecosystem based optimization power management intensification and diversification facts devices |
| title | Interactive artificial ecosystem algorithm for solving power management optimizations |
| title_full | Interactive artificial ecosystem algorithm for solving power management optimizations |
| title_fullStr | Interactive artificial ecosystem algorithm for solving power management optimizations |
| title_full_unstemmed | Interactive artificial ecosystem algorithm for solving power management optimizations |
| title_short | Interactive artificial ecosystem algorithm for solving power management optimizations |
| title_sort | interactive artificial ecosystem algorithm for solving power management optimizations |
| topic | artificial ecosystem based optimization power management intensification and diversification facts devices |
| url | http://eie.khpi.edu.ua/article/view/255850/262471 |
| work_keys_str_mv | AT bmahdad interactiveartificialecosystemalgorithmforsolvingpowermanagementoptimizations AT ksrairi interactiveartificialecosystemalgorithmforsolvingpowermanagementoptimizations |