2022
DOI: 10.3390/cleantechnol4040076
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Optimal Placement of Distributed Generation Based on Power Quality Improvement Using Self-Adaptive Lévy Flight Jaya Algorithm

Abstract: The optimal placement of distributed generation (DG) is a critical task for distribution companies in order to keep the distribution network running smoothly. The optimal placement of DG units is an optimization problem. In this paper, minimization of the voltage deviation from flat voltage is considered as an objective function. The self-adaptive Lévy flight-based Jaya algorithm is used as an optimization technique to determine the best location and size of distributed generation units. In the MATLAB environm… Show more

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Cited by 8 publications
(2 citation statements)
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“…Other algorithms have been used to reconfigure distribution systems to obtain the optimal location of DG based on minimizing active power losses and improving voltage profiles, such as the equilibrium optimizer [36], binary particle swarm optimization and shuffled frog leap [37], the modified analytical method for PV-DG [38], the honey badger [39], and self-adaptive levy flight [40]. A hybrid optimization approach that combines GA and the improved PSO algorithm to find the ideal location for the DG on the IEEE 30 bus while minimizing active power loss and preserving the voltage magnitude at roughly 1 p.u.…”
Section: Related Workmentioning
confidence: 99%
“…Other algorithms have been used to reconfigure distribution systems to obtain the optimal location of DG based on minimizing active power losses and improving voltage profiles, such as the equilibrium optimizer [36], binary particle swarm optimization and shuffled frog leap [37], the modified analytical method for PV-DG [38], the honey badger [39], and self-adaptive levy flight [40]. A hybrid optimization approach that combines GA and the improved PSO algorithm to find the ideal location for the DG on the IEEE 30 bus while minimizing active power loss and preserving the voltage magnitude at roughly 1 p.u.…”
Section: Related Workmentioning
confidence: 99%
“…Optimal network reconfiguration problem using an algorithm based on heuristics [14]. The optimal placement of DG with the objective of reducing voltage deviation using the self-adaptive Lévy flight-based Jaya algorithm [15]. The crow search algorithm (CSA) is used in the problem of optimal network reconfiguration when installing DG and electric vehicle charging stations [16].…”
Section: Introductionmentioning
confidence: 99%