Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/101741
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dc.contributorSchool of Professional Education and Executive Developmenten_US
dc.creatorHabib, HURen_US
dc.creatorWaqar, Aen_US
dc.creatorSohail, Sen_US
dc.creatorJunejo, AKen_US
dc.creatorElmorshedy, MFen_US
dc.creatorKhan, Sen_US
dc.creatorKim, YSen_US
dc.creatorIsmail, MMen_US
dc.date.accessioned2023-09-18T07:41:48Z-
dc.date.available2023-09-18T07:41:48Z-
dc.identifier.urihttp://hdl.handle.net/10397/101741-
dc.language.isoenen_US
dc.publisherJohn Wiley & Sonsen_US
dc.rightsCopyright © 2022 Habib Ur Rahman Habib et al. This is an open access article distributed under the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en_US
dc.rightsThe following publication Habib, H. U. R., Waqar, A., Sohail, S., Junejo, A. K., Elmorshedy, M. F., Khan, S., ... & Ismail, M. M. (2022). Optimal Placement and Sizing Problem for Power Loss Minimization and Voltage Profile Improvement of Distribution Networks under Seasonal Loads Using Harris Hawks Optimizer. International Transactions on Electrical Energy Systems, 2022(8640423) is available at https://doi.org/10.1155/2022/8640423.en_US
dc.titleOptimal placement and sizing problem for power loss minimization and voltage profile improvement of distribution networks under seasonal loads using Harris hawks optimizeren_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume2022en_US
dc.identifier.doi10.1155/2022/8640423en_US
dcterms.abstractImproving efficiency with sustainable radial distribution networks (RDNs) is challenging for larger systems and small grid-connected RDNs. In this paper, the optimal placement of DGs with the Harris hawks optimizer (HHO) under seasonal load demands is proposed to simultaneously reduce total active and reactive power losses and minimize bus voltage drops with the consideration of operational constraints of RDNs. HHO is a newly inspired metaheuristic optimization algorithm primarily based on the Harris hawks' intelligent behaviors during the chasing of the prey. Furthermore, the authors have investigated four stages of DGs. The first stage involves the optimal allocation of one DG. The second stage includes an investigation with two DGs, the third stage considers three DGs, and the fourth stage investigates the integration of four DGs. The effectiveness of the applied HHO is validated on IEEE 33 and 69 bus RDNs, and results are analyzed by comparing with the standard optimization methods. The Big-O test is also executed for statistical analysis with standard algorithms. The simulation results reveal the better performance of the applied HHO under different circumstances than other algorithms. Furthermore, the total active and reactive power losses and bus voltage drops are improved by adding more DGs into IEEE 33 and 69 bus RDNs.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationInternational Transactions on Electrical Energy Systems, 2022, v. 2022, 8640423en_US
dcterms.isPartOfInternational transactions on electrical energy systemsen_US
dcterms.issued2022-
dc.identifier.scopus2-s2.0-85133975611-
dc.identifier.eissn2050-7038en_US
dc.identifier.artn8640423en_US
dc.description.validate202309 bcvcen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOS-
dc.description.fundingSourceNot mentionen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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