Distribution feeder reconfiguration with distributed generation using backward/forward sweep power flow - grey wolf optimizer
This article presents an effective combination method based on Backward/Forward Sweep Power Flow- Grey Wolf optimizer (BFSPF-GWO) for feeder reconfiguration in a distribution network with the presence of distributed generation (DG). The 33-bus test system by adding five tie line switches is proposed...
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Institute of Electrical and Electronics Engineers Inc.
2023
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Online Access: | http://umpir.ump.edu.my/id/eprint/38776/1/Distribution%20feeder%20reconfiguration%20with%20distributed%20generation.pdf http://umpir.ump.edu.my/id/eprint/38776/2/Distribution%20feeder%20reconfiguration%20with%20distributed%20generation%20using%20backward_forward%20sweep%20power%20flow%20-%20grey%20wolf%20optimizer_ABS.pdf http://umpir.ump.edu.my/id/eprint/38776/ https://doi.org/10.1109/CSPA57446.2023.10087738 |
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my.ump.umpir.387762023-11-06T06:49:17Z http://umpir.ump.edu.my/id/eprint/38776/ Distribution feeder reconfiguration with distributed generation using backward/forward sweep power flow - grey wolf optimizer Syed Muhammad Fadli, Syed Drus Norhafidzah, Mohd Saad Mohammad Fadhil, Abas Suliana, Ab Ghani Norazila, Jaalam Ali, Abid T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering This article presents an effective combination method based on Backward/Forward Sweep Power Flow- Grey Wolf optimizer (BFSPF-GWO) for feeder reconfiguration in a distribution network with the presence of distributed generation (DG). The 33-bus test system by adding five tie line switches is proposed with the objective functions of minimizing total power losses and improving the voltage profiles. The results reveal a reduction in active and reactive power losses at 71.41% and 67.66%, respectively. The optimal sizing of DG and installation location are identified by installing a 2.26 MW DG at bus 29. The magnitudes of voltage profiles and critical buses in the test system have been improved. The proposed BFSPF-GWO algorithm's performance in DG placement and sizing with feeder reconfiguration has been evaluated by comparing the results with Mixed-integer optimization by GA (MIOGA) and Particle Swarm optimization (PSO). Institute of Electrical and Electronics Engineers Inc. 2023 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/38776/1/Distribution%20feeder%20reconfiguration%20with%20distributed%20generation.pdf pdf en http://umpir.ump.edu.my/id/eprint/38776/2/Distribution%20feeder%20reconfiguration%20with%20distributed%20generation%20using%20backward_forward%20sweep%20power%20flow%20-%20grey%20wolf%20optimizer_ABS.pdf Syed Muhammad Fadli, Syed Drus and Norhafidzah, Mohd Saad and Mohammad Fadhil, Abas and Suliana, Ab Ghani and Norazila, Jaalam and Ali, Abid (2023) Distribution feeder reconfiguration with distributed generation using backward/forward sweep power flow - grey wolf optimizer. In: 2023 19th IEEE International Colloquium on Signal Processing and Its Applications, CSPA 2023 - Conference Proceedings, 3-4 March 2023 , Kedah. pp. 213-218.. ISBN 978-166547692-8 https://doi.org/10.1109/CSPA57446.2023.10087738 |
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T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Syed Muhammad Fadli, Syed Drus Norhafidzah, Mohd Saad Mohammad Fadhil, Abas Suliana, Ab Ghani Norazila, Jaalam Ali, Abid Distribution feeder reconfiguration with distributed generation using backward/forward sweep power flow - grey wolf optimizer |
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This article presents an effective combination method based on Backward/Forward Sweep Power Flow- Grey Wolf optimizer (BFSPF-GWO) for feeder reconfiguration in a distribution network with the presence of distributed generation (DG). The 33-bus test system by adding five tie line switches is proposed with the objective functions of minimizing total power losses and improving the voltage profiles. The results reveal a reduction in active and reactive power losses at 71.41% and 67.66%, respectively. The optimal sizing of DG and installation location are identified by installing a 2.26 MW DG at bus 29. The magnitudes of voltage profiles and critical buses in the test system have been improved. The proposed BFSPF-GWO algorithm's performance in DG placement and sizing with feeder reconfiguration has been evaluated by comparing the results with Mixed-integer optimization by GA (MIOGA) and Particle Swarm optimization (PSO). |
format |
Conference or Workshop Item |
author |
Syed Muhammad Fadli, Syed Drus Norhafidzah, Mohd Saad Mohammad Fadhil, Abas Suliana, Ab Ghani Norazila, Jaalam Ali, Abid |
author_facet |
Syed Muhammad Fadli, Syed Drus Norhafidzah, Mohd Saad Mohammad Fadhil, Abas Suliana, Ab Ghani Norazila, Jaalam Ali, Abid |
author_sort |
Syed Muhammad Fadli, Syed Drus |
title |
Distribution feeder reconfiguration with distributed generation using backward/forward sweep power flow - grey wolf optimizer |
title_short |
Distribution feeder reconfiguration with distributed generation using backward/forward sweep power flow - grey wolf optimizer |
title_full |
Distribution feeder reconfiguration with distributed generation using backward/forward sweep power flow - grey wolf optimizer |
title_fullStr |
Distribution feeder reconfiguration with distributed generation using backward/forward sweep power flow - grey wolf optimizer |
title_full_unstemmed |
Distribution feeder reconfiguration with distributed generation using backward/forward sweep power flow - grey wolf optimizer |
title_sort |
distribution feeder reconfiguration with distributed generation using backward/forward sweep power flow - grey wolf optimizer |
publisher |
Institute of Electrical and Electronics Engineers Inc. |
publishDate |
2023 |
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http://umpir.ump.edu.my/id/eprint/38776/1/Distribution%20feeder%20reconfiguration%20with%20distributed%20generation.pdf http://umpir.ump.edu.my/id/eprint/38776/2/Distribution%20feeder%20reconfiguration%20with%20distributed%20generation%20using%20backward_forward%20sweep%20power%20flow%20-%20grey%20wolf%20optimizer_ABS.pdf http://umpir.ump.edu.my/id/eprint/38776/ https://doi.org/10.1109/CSPA57446.2023.10087738 |
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