Comparison of ABC and genetic algorithms on economic power dispatch

A. N. Afandi, I. Fadlika, S. Sendari, Hajime Miyauchi, Goro Fujita, Nedim Tutkun

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Recently, an economic evaluation of the power system becomes one of main issues in the power system management since the power production and power selling consider a financial aspect. The system should be operated in the lowest cost and cheaper fee for consumers. In particular, an environmental protection also becomes a major issue to penetrate the pollutant production of thermal power plants. To cover this issue, one of strategies is approached using a combined economic emission dispatch (CEED) considered an economic dispatch (ED) and an emission dispatch (EmD). In these studies, the CEED is optimized using Artificial Bee Colony Algorithm which is contrasted to Genetic Algorithm for comparing both performances. By considering both algorithms, results show that generated powers lead to the total cost and pollutant emission. The total minimum cost is performed in the optimal solution with different speeds. Combinations of ED and EmD also give difference implications.

Original languageEnglish
Title of host publicationProceedings of 2018 10th International Conference on Information Technology and Electrical Engineering
Subtitle of host publicationSmart Technology for Better Society, ICITEE 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages40-45
Number of pages6
ISBN (Electronic)9781538647394
DOIs
Publication statusPublished - 2018 Nov 13
Event10th International Conference on Information Technology and Electrical Engineering, ICITEE 2018 - Bali, Indonesia
Duration: 2018 Jul 242018 Jul 26

Other

Other10th International Conference on Information Technology and Electrical Engineering, ICITEE 2018
CountryIndonesia
CityBali
Period18/7/2418/7/26

Keywords

  • Abc algorithm
  • Economic dispatch
  • Emission dispatch
  • Genetic algorithm
  • Load demand
  • Power system

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Information Systems and Management
  • Electrical and Electronic Engineering

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  • Cite this

    Afandi, A. N., Fadlika, I., Sendari, S., Miyauchi, H., Fujita, G., & Tutkun, N. (2018). Comparison of ABC and genetic algorithms on economic power dispatch. In Proceedings of 2018 10th International Conference on Information Technology and Electrical Engineering: Smart Technology for Better Society, ICITEE 2018 (pp. 40-45). [8534870] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICITEED.2018.8534870