Comparison of ABC and genetic algorithms on economic power dispatch

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

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルProceedings of 2018 10th International Conference on Information Technology and Electrical Engineering
ホスト出版物のサブタイトルSmart Technology for Better Society, ICITEE 2018
出版社Institute of Electrical and Electronics Engineers Inc.
ページ40-45
ページ数6
ISBN(電子版)9781538647394
DOI
出版ステータスPublished - 2018 11 13
イベント10th International Conference on Information Technology and Electrical Engineering, ICITEE 2018 - Bali, Indonesia
継続期間: 2018 7 242018 7 26

Other

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

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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