Salp swarm and gray wolf optimizer for improving the efficiency of power supply network in radial distribution systems
The efficiency of distribution networks is hugely affected by active and reactive power flows in distribution electric power systems. Currently, distributed generators (DGs) of energy are extensively applied to minimize power loss and improve voltage deviancies on power distribution systems. The bes...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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De Gruyter
2023
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| Online Access: | http://eprints.uthm.edu.my/9058/ http://eprints.uthm.edu.my/9058/1/J15749_6866315792a4b3a48cab143d532100d7.pdf |
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| author | Ihsan Salman,, Ihsan Salman, Khalid Mohammed Saffer, Khalid Mohammed Saffer Hayder H. Saf, Hayder H. Saf Salama A. Mostafa, Salama A. Mostafa Bashar Ahmad Khalaf, Bashar Ahmad Khalaf |
| author_facet | Ihsan Salman,, Ihsan Salman, Khalid Mohammed Saffer, Khalid Mohammed Saffer Hayder H. Saf, Hayder H. Saf Salama A. Mostafa, Salama A. Mostafa Bashar Ahmad Khalaf, Bashar Ahmad Khalaf |
| author_sort | Ihsan Salman,, Ihsan Salman, |
| building | UTHM Institutional Repository |
| collection | Online Access |
| description | The efficiency of distribution networks is hugely affected by active and reactive power flows in distribution electric power systems. Currently, distributed generators (DGs) of energy are extensively applied to minimize power loss and improve voltage deviancies on power distribution systems. The best
position and volume of DGs produce better power outcomes. This work prepares a new hybrid SSA–GWO metaheuristic optimization algorithm that combines the salp swarm algorithm (SSA) and the gray wolf optimizer (GWO) algorithm. The SSA–GWO algorithm ensures generating the best size and site of one and multi-DGs on the radial distribution network to decrease real power losses (RPL) (kW) on lines and resolve voltage deviancies. Our novel algorithm is executed on IEEE 123-bus radial distribution test systems. The
results confirm the success of the suggested hybrid SSA–GWO algorithm compared with implementing the
SSA and GWO individually. Through the proposed SSA–GWO algorithm, the study decreases the RPL and improves the voltage profile on distribution networks with multiple DGs units. |
| first_indexed | 2025-11-15T20:28:18Z |
| format | Article |
| id | uthm-9058 |
| institution | Universiti Tun Hussein Onn Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T20:28:18Z |
| publishDate | 2023 |
| publisher | De Gruyter |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | uthm-90582023-06-25T07:09:02Z http://eprints.uthm.edu.my/9058/ Salp swarm and gray wolf optimizer for improving the efficiency of power supply network in radial distribution systems Ihsan Salman,, Ihsan Salman, Khalid Mohammed Saffer, Khalid Mohammed Saffer Hayder H. Saf, Hayder H. Saf Salama A. Mostafa, Salama A. Mostafa Bashar Ahmad Khalaf, Bashar Ahmad Khalaf T Technology (General) The efficiency of distribution networks is hugely affected by active and reactive power flows in distribution electric power systems. Currently, distributed generators (DGs) of energy are extensively applied to minimize power loss and improve voltage deviancies on power distribution systems. The best position and volume of DGs produce better power outcomes. This work prepares a new hybrid SSA–GWO metaheuristic optimization algorithm that combines the salp swarm algorithm (SSA) and the gray wolf optimizer (GWO) algorithm. The SSA–GWO algorithm ensures generating the best size and site of one and multi-DGs on the radial distribution network to decrease real power losses (RPL) (kW) on lines and resolve voltage deviancies. Our novel algorithm is executed on IEEE 123-bus radial distribution test systems. The results confirm the success of the suggested hybrid SSA–GWO algorithm compared with implementing the SSA and GWO individually. Through the proposed SSA–GWO algorithm, the study decreases the RPL and improves the voltage profile on distribution networks with multiple DGs units. De Gruyter 2023 Article PeerReviewed text en http://eprints.uthm.edu.my/9058/1/J15749_6866315792a4b3a48cab143d532100d7.pdf Ihsan Salman,, Ihsan Salman, and Khalid Mohammed Saffer, Khalid Mohammed Saffer and Hayder H. Saf, Hayder H. Saf and Salama A. Mostafa, Salama A. Mostafa and Bashar Ahmad Khalaf, Bashar Ahmad Khalaf (2023) Salp swarm and gray wolf optimizer for improving the efficiency of power supply network in radial distribution systems. Salp swarm and gray wolf optimizer. pp. 1-12. https://doi.org/10.1515/jisys-2022-0221 |
| spellingShingle | T Technology (General) Ihsan Salman,, Ihsan Salman, Khalid Mohammed Saffer, Khalid Mohammed Saffer Hayder H. Saf, Hayder H. Saf Salama A. Mostafa, Salama A. Mostafa Bashar Ahmad Khalaf, Bashar Ahmad Khalaf Salp swarm and gray wolf optimizer for improving the efficiency of power supply network in radial distribution systems |
| title | Salp swarm and gray wolf optimizer for improving the efficiency of power supply network in radial distribution systems |
| title_full | Salp swarm and gray wolf optimizer for improving the efficiency of power supply network in radial distribution systems |
| title_fullStr | Salp swarm and gray wolf optimizer for improving the efficiency of power supply network in radial distribution systems |
| title_full_unstemmed | Salp swarm and gray wolf optimizer for improving the efficiency of power supply network in radial distribution systems |
| title_short | Salp swarm and gray wolf optimizer for improving the efficiency of power supply network in radial distribution systems |
| title_sort | salp swarm and gray wolf optimizer for improving the efficiency of power supply network in radial distribution systems |
| topic | T Technology (General) |
| url | http://eprints.uthm.edu.my/9058/ http://eprints.uthm.edu.my/9058/ http://eprints.uthm.edu.my/9058/1/J15749_6866315792a4b3a48cab143d532100d7.pdf |