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Allocation of Distributed Generators Using Parallel Grey Wolf optimization

dc.contributor.authorYounesi, Soheil
dc.contributor.authorAhmadi, Bahman
dc.contributor.authorCeylan, Oguzhan
dc.contributor.authorOzdemir, Aydogan
dc.date.accessioned2026-01-25T01:22:17Z
dc.date.issued2021-06-16
dc.description.abstractThis paper solves the allocation problem of distributed generators (DGs) in smart grids utilizing a grey wolf optimization (GWO) algorithm. By parallelizing GWO, it presents the impact of using various number of processors on speedup, efficiency. To decrease the computation time required to perform the simulations, different migration rates are applied for different number of processors. Moreover, the accuracy obtained using different number of processors is analyzed. The simulations are performed for a 33-bus distribution test system using MATLAB’s parallel computing toolbox. From the simulation results it is observed that parallel GWO can be used as a tool for distribution system optimization.
dc.description.urihttps://doi.org/10.1109/mps52805.2021.9492702
dc.description.urihttps://dx.doi.org/10.1109/mps52805.2021.9492702
dc.description.urihttps://hdl.handle.net/20.500.12469/5246
dc.identifier.doi10.1109/mps52805.2021.9492702
dc.identifier.endpage6
dc.identifier.openairedoi_dedup___::417a384c5f444c3caebfd66999bb7c66
dc.identifier.orcid0000-0003-2170-857x
dc.identifier.orcid0000-0002-1745-2228
dc.identifier.startpage1
dc.identifier.urihttps://hdl.handle.net/11527/41139
dc.publisherIEEE
dc.relation.ispartof2021 9th International Conference on Modern Power Systems (MPS)
dc.rightsCLOSED
dc.sdg.typeGoal 7: Affordable and Clean Energy
dc.subjectDistribution-Systems
dc.subjectOptimization
dc.subjectDistributed generators
dc.subjectReconfiguration
dc.subjectGrey Wolf Optimization Algorithm
dc.subjectSmart grids
dc.subjectParallel Computation
dc.titleAllocation of Distributed Generators Using Parallel Grey Wolf optimization
dc.typeOther
dspace.entity.typePublication

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