NDLI: Solution of Optimal Power Flow Using Non-Dominated Sorting Multi Objective Based Hybrid Firefly and Particle Swarm Optimization Algorithm

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Solution of Optimal Power Flow Using Non-Dominated Sorting Multi Objective Based Hybrid Firefly and Particle Swarm Optimization Algorithm

Content Provider	MDPI
Author	Khan, Abdullah Hizam, Hashim Abdul-Wahab, Noor Izzri Othman, Mohammad Lutfi
Copyright Year	2020
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.
Starting Page	4265
e-ISSN	19961073
DOI	10.3390/en13164265
Journal	Energies
Issue Number	16
Volume Number	13
Language	English
Publisher	MDPI
Publisher Date	2020-08-18
Access Restriction	Open
Subject Keyword	Energies Industrial Engineering 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
Content Type	Text
Resource Type	Article

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