Yayın: Energy Loss Minimization with Parallel Implementation of Marine Predators Algorithm
| dc.contributor.author | Younesi, S. | |
| dc.contributor.author | Ahmadi, B. | |
| dc.contributor.author | Ceylan, O. | |
| dc.contributor.author | Ozdemir, A. | |
| dc.date.accessioned | 2026-01-25T04:12:28Z | |
| dc.date.issued | 2021-11-25 | |
| dc.description.abstract | 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”. | |
| dc.description.uri | https://doi.org/10.23919/eleco54474.2021.9677829 | |
| dc.description.uri | https://hdl.handle.net/20.500.12469/4916 | |
| dc.identifier.doi | 10.23919/eleco54474.2021.9677829 | |
| dc.identifier.endpage | 72 | |
| dc.identifier.openaire | doi_dedup___::5f061c880c067bf604d4d25f6a5b2a1e | |
| dc.identifier.orcid | 0000-0003-2170-857x | |
| dc.identifier.orcid | 0000-0002-1745-2228 | |
| dc.identifier.startpage | 67 | |
| dc.identifier.uri | https://hdl.handle.net/11527/45092 | |
| dc.publisher | IEEE | |
| dc.relation.ispartof | 2021 13th International Conference on Electrical and Electronics Engineering (ELECO) | |
| dc.rights | CLOSED | |
| dc.sdg.type | Goal 7: Affordable and Clean Energy | |
| dc.subject | Parallel computing | |
| dc.subject | Parallel com- puting | |
| dc.subject | Distributed generators | |
| dc.subject | Energy dissipation | |
| dc.subject | Marine Predators Algorithm | |
| dc.subject | DG allocation problem | |
| dc.subject | Smart grids | |
| dc.subject | Smart grid | |
| dc.subject | Allocation problems | |
| dc.subject | Parallel Computation | |
| dc.subject | Losses minimizations | |
| dc.subject | Computational efficiency | |
| dc.subject | Electric power transmission networks | |
| dc.subject | Distributed generator allocation problem | |
| dc.subject | Distribution networks | |
| dc.subject | Smart power grids | |
| dc.subject | Marine predator algorithm | |
| dc.subject | Networks services | |
| dc.subject | Parallel implementations | |
| dc.subject | Heuristic methods | |
| dc.title | Energy Loss Minimization with Parallel Implementation of Marine Predators Algorithm | |
| dc.type | Article | |
| dspace.entity.type | Publication |