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Energy Loss Minimization with Parallel Implementation of Marine Predators Algorithm

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13th 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”.

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2021 13th International Conference on Electrical and Electronics Engineering (ELECO)

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CLOSED

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Parallel computing, Parallel com- puting, Distributed generators, Energy dissipation, Marine Predators Algorithm, DG allocation problem, Smart grids, Smart grid, Allocation problems, Parallel Computation, Losses minimizations, Computational efficiency, Electric power transmission networks, Distributed generator allocation problem, Distribution networks, Smart power grids, Marine predator algorithm, Networks services, Parallel implementations, Heuristic methods

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