Ceylan, OğuzhanYounesi, S.Ahmadi, B.Ceylan, O.Ozdemir, A.2023-10-192023-10-19202129786050114379https://doi.org/10.23919/ELECO54474.2021.9677829https://hdl.handle.net/20.500.12469/491613th International Conference on Electrical and Electronics Engineering, ELECO 2021 --25 November 2021 through 27 November 2021 -- --176537Distribution 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.eninfo:eu-repo/semantics/closedAccessDG allocation problemDistribution networksMarine Predators AlgorithmParallel computingSmart gridsComputational efficiencyElectric power transmission networksEnergy dissipationSmart power gridsAllocation problemsDistributed generator allocation problemDistributed generatorsLosses minimizationsMarine predator algorithmNetworks servicesParallel com- putingParallel ComputationParallel implementationsSmart gridHeuristic methodsConference Object677210.23919/ELECO54474.2021.96778292-s2.0-85125226943N/AN/A