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

Cenk Andic, Esra Aydin, Ali Ozturk, Belgin Turkay

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Planning 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.

Original languageEnglish
Title of host publicationIEEE Global Energy Conference, GEC 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages4
ISBN (Electronic)9781665497510
Publication statusPublished - 2022
Event2022 IEEE Global Energy Conference, GEC 2022 - Batman, Turkey
Duration: 26 Oct 202229 Oct 2022

Publication series

NameIEEE Global Energy Conference, GEC 2022


Conference2022 IEEE Global Energy Conference, GEC 2022

Bibliographical note

Publisher Copyright:
© 2022 IEEE.


  • economic dispatch
  • heuristic algorithms
  • honey badger algorithm
  • optimization
  • power systems


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