The Application of HBA Technique to Economic Dispatch: A Case Study from Turkey

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dc.authorscopusid57818691400
dc.authorscopusid57466578000
dc.authorscopusid35103037800
dc.authorscopusid8307948200
dc.contributor.authorAndiç, Cenk
dc.contributor.authorAydın, E.
dc.contributor.authorÖztürk, Ali
dc.contributor.authorTürkay, Belgin
dc.date.accessioned2023-07-26T11:54:45Z
dc.date.available2023-07-26T11:54:45Z
dc.date.issued2022
dc.departmentDÜ, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.descriptionBatman University and Batman Energy Coordination Center (EKOM)en_US
dc.description2022 IEEE Global Energy Conference, GEC 2022 -- 26 October 2022 through 29 October 2022 -- 185674en_US
dc.description.abstractPlanning the operation of electrical power systems and running them under optimal conditions is essential as the daily demand for energy rises. Thermal generation units provide the majority of the world's required electrical energy. Meeting energy demand while keeping thermal generation units' fuel costs to a minimum is the foundation of the economic distribution challenge. The economic dispatch problem is addressed in this research, and a new heuristic approach, the honey badger algorithm (HBA), is proposed to address it. Using a case study from Turkey, the suggested HBA was put through its paces. The efficiency of the suggested algorithm has been evaluated in comparison to other approaches. These include the genetic algorithm (GA), the simulated annealing (SA), and the crow search algorithm (CSA). The results demonstrate that the proposed HBA outperforms competing approaches in terms of operational success. Thus, the suggested HBA yielded daily profits of 17.9736 and annual profits of 6,740.496. Simultaneously, the proposed HBA method decreases the system's reliance on fuel while in operation and decreases the emission of hazardous gases from heat generation units. © 2022 IEEE.en_US
dc.identifier.doi10.1109/GEC55014.2022.9987216
dc.identifier.endpage261en_US
dc.identifier.isbn9.78167E+12
dc.identifier.scopus2-s2.0-85146492925en_US
dc.identifier.startpage258en_US
dc.identifier.urihttps://doi.org/10.1109/GEC55014.2022.9987216
dc.identifier.urihttps://hdl.handle.net/20.500.12684/12916
dc.indekslendigikaynakScopusen_US
dc.institutionauthorÖztürk, Ali
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofIEEE Global Energy Conference, GEC 2022en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz$2023V1Guncelleme$en_US
dc.subjecteconomic dispatchen_US
dc.subjectheuristic algorithmsen_US
dc.subjecthoney badger algorithmen_US
dc.subjectoptimizationen_US
dc.subjectpower systemsen_US
dc.subjectElectric load dispatchingen_US
dc.subjectElectric power distributionen_US
dc.subjectFood productsen_US
dc.subjectGenetic algorithmsen_US
dc.subjectHeuristic methodsen_US
dc.subjectProfitabilityen_US
dc.subjectSimulated annealingen_US
dc.subjectCase-studiesen_US
dc.subjectEconomic Dispatchen_US
dc.subjectElectrical power systemen_US
dc.subjectHeuristics algorithmen_US
dc.subjectHoney badger algorithmen_US
dc.subjectOptimal conditionsen_US
dc.subjectOptimisationsen_US
dc.subjectPoweren_US
dc.subjectPower systemen_US
dc.subjectThermal generation uniten_US
dc.subjectHeuristic algorithmsen_US
dc.titleThe Application of HBA Technique to Economic Dispatch: A Case Study from Turkeyen_US
dc.typeConference Objecten_US

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