Citation
Abstract
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.
Download File
Full text not available from this repository.
Official URL or Download Paper: https://www.mdpi.com/1996-1073/13/16/4265
|
Additional Metadata
| Item Type: | Article |
|---|---|
| Divisions: | Faculty of Engineering |
| DOI Number: | https://doi.org/10.3390/en13164265 |
| Publisher: | Multidisciplinary Digital Publishing Institute |
| Keywords: | Optimal power flow; Multi-objective optimization; Non-dominated sorting; Ideal distance minimization; Total fuel cost minimization; Voltage profile enhancement; Real power loss minimization; Hybrid firefly and particle swarm optimization |
| Depositing User: | Ms. Che Wa Zakaria |
| Date Deposited: | 08 Nov 2023 08:14 |
| Last Modified: | 08 Nov 2023 08:14 |
| Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.3390/en13164265 |
| URI: | http://psasir.upm.edu.my/id/eprint/85858 |
| Statistic Details: | View Download Statistic |
Actions (login required)
 |
View Item |