A Novel Application of Improved Marine Predators Algorithm and Particle Swarm Optimization for Solving the ORPD Problem
The appropriate planning of electric power systems has a significant effect on the economic situation of countries. For the protection and reliability of the power system, the optimal reactive power dispatch (ORPD) problem is an essential issue. The ORPD is a non-linear, non-convex, and continuous o...
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MDPI AG
2020-10-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/13/21/5679 |
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| author | Mohamed A. M. Shaheen Dalia Yousri Ahmed Fathy Hany M. Hasanien Abdulaziz Alkuhayli S. M. Muyeen |
| author_facet | Mohamed A. M. Shaheen Dalia Yousri Ahmed Fathy Hany M. Hasanien Abdulaziz Alkuhayli S. M. Muyeen |
| author_sort | Mohamed A. M. Shaheen |
| collection | DOAJ |
| description | The appropriate planning of electric power systems has a significant effect on the economic situation of countries. For the protection and reliability of the power system, the optimal reactive power dispatch (ORPD) problem is an essential issue. The ORPD is a non-linear, non-convex, and continuous or non-continuous optimization problem. Therefore, introducing a reliable optimizer is a challenging task to solve this optimization problem. This study proposes a robust and flexible optimization algorithm with the minimum adjustable parameters named Improved Marine Predators Algorithm and Particle Swarm Optimization (IMPAPSO) algorithm, for dealing with the non-linearity of ORPD. The IMPAPSO is evaluated using various test cases, including IEEE 30 bus, IEEE 57 bus, and IEEE 118 bus systems. An effectiveness of the proposed optimization algorithm was verified through a rigorous comparative study with other optimization methods. There was a noticeable enhancement in the electric power networks behavior when using the IMPAPSO method. Moreover, the IMPAPSO high convergence speed was an observed feature in a comparison with its peers. |
| first_indexed | 2024-03-10T15:13:27Z |
| format | Article |
| id | doaj.art-f2c617f508db46529573a8cbd029850b |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T15:13:27Z |
| publishDate | 2020-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-f2c617f508db46529573a8cbd029850b2023-11-20T19:10:26ZengMDPI AGEnergies1996-10732020-10-011321567910.3390/en13215679A Novel Application of Improved Marine Predators Algorithm and Particle Swarm Optimization for Solving the ORPD ProblemMohamed A. M. Shaheen0Dalia Yousri1Ahmed Fathy2Hany M. Hasanien3Abdulaziz Alkuhayli4S. M. Muyeen5Electrical Engineering Department, Faculty of Engineering and Technology, Future University in Egypt, Cairo 11835, EgyptElectrical Engineering Department, Faculty of Engineering, Fayoum University, Fayoum 63514, EgyptElectrical Engineering Department, Faculty of Engineering, Jouf University, Sakakah 74331, Saudi ArabiaElectrical Engineering Department, Faculty of Engineering and Technology, Future University in Egypt, Cairo 11835, EgyptDepartment of Electrical Engineering, College of Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi ArabiaSchool of Electrical Engineering Computing and Mathematical Sciences, Curtin University, Perth 6102, AustraliaThe appropriate planning of electric power systems has a significant effect on the economic situation of countries. For the protection and reliability of the power system, the optimal reactive power dispatch (ORPD) problem is an essential issue. The ORPD is a non-linear, non-convex, and continuous or non-continuous optimization problem. Therefore, introducing a reliable optimizer is a challenging task to solve this optimization problem. This study proposes a robust and flexible optimization algorithm with the minimum adjustable parameters named Improved Marine Predators Algorithm and Particle Swarm Optimization (IMPAPSO) algorithm, for dealing with the non-linearity of ORPD. The IMPAPSO is evaluated using various test cases, including IEEE 30 bus, IEEE 57 bus, and IEEE 118 bus systems. An effectiveness of the proposed optimization algorithm was verified through a rigorous comparative study with other optimization methods. There was a noticeable enhancement in the electric power networks behavior when using the IMPAPSO method. Moreover, the IMPAPSO high convergence speed was an observed feature in a comparison with its peers.https://www.mdpi.com/1996-1073/13/21/5679marine predator algorithmoptimal reactive power dispatchpower lossespower system operation |
| spellingShingle | Mohamed A. M. Shaheen Dalia Yousri Ahmed Fathy Hany M. Hasanien Abdulaziz Alkuhayli S. M. Muyeen A Novel Application of Improved Marine Predators Algorithm and Particle Swarm Optimization for Solving the ORPD Problem Energies marine predator algorithm optimal reactive power dispatch power losses power system operation |
| title | A Novel Application of Improved Marine Predators Algorithm and Particle Swarm Optimization for Solving the ORPD Problem |
| title_full | A Novel Application of Improved Marine Predators Algorithm and Particle Swarm Optimization for Solving the ORPD Problem |
| title_fullStr | A Novel Application of Improved Marine Predators Algorithm and Particle Swarm Optimization for Solving the ORPD Problem |
| title_full_unstemmed | A Novel Application of Improved Marine Predators Algorithm and Particle Swarm Optimization for Solving the ORPD Problem |
| title_short | A Novel Application of Improved Marine Predators Algorithm and Particle Swarm Optimization for Solving the ORPD Problem |
| title_sort | novel application of improved marine predators algorithm and particle swarm optimization for solving the orpd problem |
| topic | marine predator algorithm optimal reactive power dispatch power losses power system operation |
| url | https://www.mdpi.com/1996-1073/13/21/5679 |
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