Solution of optimal power flow using non-dominated sorting multi-objective based hybrid firefly and particle swarm optimization algorithm
In this paper, a multi-objective hybrid firefly and particle swarm optimization (MOHFPSO) was proposed for different multi-objective optimal power flow (MOOPF) problems. Optimal power flow (OPF) was formulated as a non-linear problem with various objectives and constraints. Pareto optimal front was...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Published: |
Multidisciplinary Digital Publishing Institute
2020
|
| _version_ | 1825952199186841600 |
|---|---|
| author | Abdullah Khan Hizam, Hashim Abdul Wahab, Noor Izzri Othman, Mohammad Lutfi |
| author_facet | Abdullah Khan Hizam, Hashim Abdul Wahab, Noor Izzri Othman, Mohammad Lutfi |
| author_sort | Abdullah Khan |
| collection | UPM |
| description | In this paper, a multi-objective hybrid firefly and particle swarm optimization (MOHFPSO) was proposed for different multi-objective optimal power flow (MOOPF) problems. Optimal power flow (OPF) was formulated as a non-linear problem with various objectives and constraints. Pareto optimal front was obtained by using non-dominated sorting and crowding distance methods. Finally, an optimal compromised solution was selected from the Pareto optimal set by applying an ideal distance minimization method. The efficiency of the proposed MOHFPSO technique was tested on standard IEEE 30-bus and IEEE 57-bus test systems with various conflicting objectives. Simulation results were also compared with non-dominated sorting based multi-objective particle swarm optimization (MOPSO) and different optimization algorithms reported in the current literature. The achieved results revealed the potential of the proposed algorithm for MOOPF problems. |
| first_indexed | 2024-03-06T10:41:22Z |
| format | Article |
| id | upm.eprints-85858 |
| institution | Universiti Putra Malaysia |
| last_indexed | 2024-03-06T10:41:22Z |
| publishDate | 2020 |
| publisher | Multidisciplinary Digital Publishing Institute |
| record_format | dspace |
| spelling | upm.eprints-858582023-11-08T08:14:06Z http://psasir.upm.edu.my/id/eprint/85858/ Solution of optimal power flow using non-dominated sorting multi-objective based hybrid firefly and particle swarm optimization algorithm Abdullah Khan Hizam, Hashim Abdul Wahab, Noor Izzri Othman, Mohammad Lutfi In this paper, a multi-objective hybrid firefly and particle swarm optimization (MOHFPSO) was proposed for different multi-objective optimal power flow (MOOPF) problems. Optimal power flow (OPF) was formulated as a non-linear problem with various objectives and constraints. Pareto optimal front was obtained by using non-dominated sorting and crowding distance methods. Finally, an optimal compromised solution was selected from the Pareto optimal set by applying an ideal distance minimization method. The efficiency of the proposed MOHFPSO technique was tested on standard IEEE 30-bus and IEEE 57-bus test systems with various conflicting objectives. Simulation results were also compared with non-dominated sorting based multi-objective particle swarm optimization (MOPSO) and different optimization algorithms reported in the current literature. The achieved results revealed the potential of the proposed algorithm for MOOPF problems. Multidisciplinary Digital Publishing Institute 2020-08-18 Article PeerReviewed Abdullah Khan and Hizam, Hashim and Abdul Wahab, Noor Izzri and Othman, Mohammad Lutfi (2020) Solution of optimal power flow using non-dominated sorting multi-objective based hybrid firefly and particle swarm optimization algorithm. Energies, 13 (16). art. no. 4265. pp. 1-24. ISSN 1996-1073 https://www.mdpi.com/1996-1073/13/16/4265 10.3390/en13164265 |
| spellingShingle | Abdullah Khan Hizam, Hashim Abdul Wahab, Noor Izzri Othman, Mohammad Lutfi Solution of optimal power flow using non-dominated sorting multi-objective based hybrid firefly and particle swarm optimization algorithm |
| title | Solution of optimal power flow using non-dominated sorting multi-objective based hybrid firefly and particle swarm optimization algorithm |
| title_full | Solution of optimal power flow using non-dominated sorting multi-objective based hybrid firefly and particle swarm optimization algorithm |
| title_fullStr | Solution of optimal power flow using non-dominated sorting multi-objective based hybrid firefly and particle swarm optimization algorithm |
| title_full_unstemmed | Solution of optimal power flow using non-dominated sorting multi-objective based hybrid firefly and particle swarm optimization algorithm |
| title_short | Solution of optimal power flow using non-dominated sorting multi-objective based hybrid firefly and particle swarm optimization algorithm |
| title_sort | solution of optimal power flow using non dominated sorting multi objective based hybrid firefly and particle swarm optimization algorithm |
| work_keys_str_mv | AT abdullahkhan solutionofoptimalpowerflowusingnondominatedsortingmultiobjectivebasedhybridfireflyandparticleswarmoptimizationalgorithm AT hizamhashim solutionofoptimalpowerflowusingnondominatedsortingmultiobjectivebasedhybridfireflyandparticleswarmoptimizationalgorithm AT abdulwahabnoorizzri solutionofoptimalpowerflowusingnondominatedsortingmultiobjectivebasedhybridfireflyandparticleswarmoptimizationalgorithm AT othmanmohammadlutfi solutionofoptimalpowerflowusingnondominatedsortingmultiobjectivebasedhybridfireflyandparticleswarmoptimizationalgorithm |