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Energy Loss Minimization with Parallel Implementation of Marine Predators Algorithm

dc.contributor.authorYounesi, S.
dc.contributor.authorAhmadi, B.
dc.contributor.authorCeylan, O.
dc.contributor.authorOzdemir, A.
dc.date.accessioned2026-01-25T04:12:28Z
dc.date.issued2021-11-25
dc.description.abstract13th International Conference on Electrical and Electronics Engineering, ELECO 2021 --25 November 2021 through 27 November 2021 -- --176537 Distribution network (DN) service continuity is one of the significant issues in today's power systems. This paper aims to put a strategy for supplying loads with less discontinuity and affordable energy-consuming. The energy loss in distribution grids causes many problems for the producer and consumer; hence, it needs to be improved to increase supply efficiency accordingly. For this aim a model aiming to minimize power losses by allocating and sizing distributed generators (DGs) is solved using recently developed Marine Predators Algorithm (MPA). Since the proposed method is a time-intensive process due to the vast computations, parallel computation is implemented into MPA to increase computation speed. The proposed formulation and parallel computation are tested for 69-bus radial distribution system. The results are discussed in terms of computational accuracy and solution efficiency. Moreover, the convergence characteristics of MPA are compared with some other heuristic methods. © 2021 Chamber of Turkish Electrical Engineers. Türkiye Bilimsel ve Teknolojik Araştirma Kurumu, TÜBITAK ACKNOWLEDGMENT This research is funded as a part of “117E773 Advanced Evolutionary Computation for Smart Grid and Smart Community” project under the framework of 1001 Project organized by “The Scientific and Technological Research Council of Turkey TUBITAK”.
dc.description.urihttps://doi.org/10.23919/eleco54474.2021.9677829
dc.description.urihttps://hdl.handle.net/20.500.12469/4916
dc.identifier.doi10.23919/eleco54474.2021.9677829
dc.identifier.endpage72
dc.identifier.openairedoi_dedup___::5f061c880c067bf604d4d25f6a5b2a1e
dc.identifier.orcid0000-0003-2170-857x
dc.identifier.orcid0000-0002-1745-2228
dc.identifier.startpage67
dc.identifier.urihttps://hdl.handle.net/11527/45092
dc.publisherIEEE
dc.relation.ispartof2021 13th International Conference on Electrical and Electronics Engineering (ELECO)
dc.rightsCLOSED
dc.sdg.typeGoal 7: Affordable and Clean Energy
dc.subjectParallel computing
dc.subjectParallel com- puting
dc.subjectDistributed generators
dc.subjectEnergy dissipation
dc.subjectMarine Predators Algorithm
dc.subjectDG allocation problem
dc.subjectSmart grids
dc.subjectSmart grid
dc.subjectAllocation problems
dc.subjectParallel Computation
dc.subjectLosses minimizations
dc.subjectComputational efficiency
dc.subjectElectric power transmission networks
dc.subjectDistributed generator allocation problem
dc.subjectDistribution networks
dc.subjectSmart power grids
dc.subjectMarine predator algorithm
dc.subjectNetworks services
dc.subjectParallel implementations
dc.subjectHeuristic methods
dc.titleEnergy Loss Minimization with Parallel Implementation of Marine Predators Algorithm
dc.typeArticle
dspace.entity.typePublication

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