A multi-objective artificial electric field optimization algorithm for allocation of wind turbines in distribution systems
This paper presents wind turbine allocation in distribution systems to reduce active power loss and voltage deviations using a multi-objective Artificial Electric Field Algorithm (MOAEFA). The proposed method is a mathematical algorithm which is suitably capable to find optimal solutions based on th...
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Elsevier Ltd
2021
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| الوصول للمادة أونلاين: | http://eprints.utm.my/id/eprint/95072/ http://dx.doi.org/10.1016/j.asoc.2021.107278 |
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my.utm.950722022-04-29T22:23:46Z http://eprints.utm.my/id/eprint/95072/ A multi-objective artificial electric field optimization algorithm for allocation of wind turbines in distribution systems Naderipour, Amirreza Abdul Malek, Zulkurnain Mustafa, Mohd. Wazir Guerrero, Josep M. TK Electrical engineering. Electronics Nuclear engineering This paper presents wind turbine allocation in distribution systems to reduce active power loss and voltage deviations using a multi-objective Artificial Electric Field Algorithm (MOAEFA). The proposed method is a mathematical algorithm which is suitably capable to find optimal solutions based on the Pareto solution set using a fuzzy decision-making method. The proposed problem is implemented on 10, 33 and 69 bus IEEE radial distribution networks. The installation location, size and power factors of wind turbines are determined optimally using the MOAEFA method. Single and multi-objective allocation problem of wind turbines is implemented using AEFA, GWO, PSO and MOAEFA, MOGWO, MOPSO methods. The obtained the results of AEFA method achieves less power loss and voltage deviations compared to the conventional GWO and PSO methods. Moreover, the results of multi-objective fuzzy allocation show that there is a compromise between single-objective results and MOAEFA method provides better performance given the loss power and voltage deviation reduction in distribution networks. Furthermore, MOAEFA method has found a better voltage profile in the allocation of wind turbines in the distribution network compared to the other methods. The performance comparison between MOAEFA method and the previous methods given in the literature verifies the superiority of the MOAEFA method. Elsevier Ltd 2021 Article PeerReviewed Naderipour, Amirreza and Abdul Malek, Zulkurnain and Mustafa, Mohd. Wazir and Guerrero, Josep M. (2021) A multi-objective artificial electric field optimization algorithm for allocation of wind turbines in distribution systems. Applied Soft Computing, 105 . p. 107278. ISSN 1568-4946 http://dx.doi.org/10.1016/j.asoc.2021.107278 |
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Universiti Teknologi Malaysia |
| building |
UTM Library |
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Institutional Repository |
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Asia |
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Malaysia |
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Universiti Teknologi Malaysia |
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| url_provider |
http://eprints.utm.my/ |
| topic |
TK Electrical engineering. Electronics Nuclear engineering |
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TK Electrical engineering. Electronics Nuclear engineering Naderipour, Amirreza Abdul Malek, Zulkurnain Mustafa, Mohd. Wazir Guerrero, Josep M. A multi-objective artificial electric field optimization algorithm for allocation of wind turbines in distribution systems |
| description |
This paper presents wind turbine allocation in distribution systems to reduce active power loss and voltage deviations using a multi-objective Artificial Electric Field Algorithm (MOAEFA). The proposed method is a mathematical algorithm which is suitably capable to find optimal solutions based on the Pareto solution set using a fuzzy decision-making method. The proposed problem is implemented on 10, 33 and 69 bus IEEE radial distribution networks. The installation location, size and power factors of wind turbines are determined optimally using the MOAEFA method. Single and multi-objective allocation problem of wind turbines is implemented using AEFA, GWO, PSO and MOAEFA, MOGWO, MOPSO methods. The obtained the results of AEFA method achieves less power loss and voltage deviations compared to the conventional GWO and PSO methods. Moreover, the results of multi-objective fuzzy allocation show that there is a compromise between single-objective results and MOAEFA method provides better performance given the loss power and voltage deviation reduction in distribution networks. Furthermore, MOAEFA method has found a better voltage profile in the allocation of wind turbines in the distribution network compared to the other methods. The performance comparison between MOAEFA method and the previous methods given in the literature verifies the superiority of the MOAEFA method. |
| format |
Article |
| author |
Naderipour, Amirreza Abdul Malek, Zulkurnain Mustafa, Mohd. Wazir Guerrero, Josep M. |
| author_facet |
Naderipour, Amirreza Abdul Malek, Zulkurnain Mustafa, Mohd. Wazir Guerrero, Josep M. |
| author_sort |
Naderipour, Amirreza |
| title |
A multi-objective artificial electric field optimization algorithm for allocation of wind turbines in distribution systems |
| title_short |
A multi-objective artificial electric field optimization algorithm for allocation of wind turbines in distribution systems |
| title_full |
A multi-objective artificial electric field optimization algorithm for allocation of wind turbines in distribution systems |
| title_fullStr |
A multi-objective artificial electric field optimization algorithm for allocation of wind turbines in distribution systems |
| title_full_unstemmed |
A multi-objective artificial electric field optimization algorithm for allocation of wind turbines in distribution systems |
| title_sort |
multi-objective artificial electric field optimization algorithm for allocation of wind turbines in distribution systems |
| publisher |
Elsevier Ltd |
| publishDate |
2021 |
| url |
http://eprints.utm.my/id/eprint/95072/ http://dx.doi.org/10.1016/j.asoc.2021.107278 |
| _version_ |
1732945428744241152 |
| score |
13.251813 |