Comparison of ABC and genetic algorithms on economic power dispatch

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

doi:10.1109/ICITEED.2018.8534870

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 proceeding › Conference contribution

4 Citations (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 language	English
Title of host publication	Proceedings of 2018 10th International Conference on Information Technology and Electrical Engineering
Subtitle of host publication	Smart Technology for Better Society, ICITEE 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	40-45
Number of pages	6
ISBN (Electronic)	9781538647394
DOIs	https://doi.org/10.1109/ICITEED.2018.8534870
Publication status	Published - 2018 Nov 13
Event	10th International Conference on Information Technology and Electrical Engineering, ICITEE 2018 - Bali, Indonesia Duration: 2018 Jul 24 → 2018 Jul 26

Other

Other	10th International Conference on Information Technology and Electrical Engineering, ICITEE 2018
Country/Territory	Indonesia
City	Bali
Period	18/7/24 → 18/7/26

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

Access to Document

10.1109/ICITEED.2018.8534870

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

Comparison of ABC and genetic algorithms on economic power dispatch. / Afandi, A. N.; Fadlika, I.; Sendari, S. et al.

Proceedings of 2018 10th International Conference on Information Technology and Electrical Engineering: Smart Technology for Better Society, ICITEE 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 40-45 8534870.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Afandi, AN, 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., 8534870, Institute of Electrical and Electronics Engineers Inc., pp. 40-45, 10th International Conference on Information Technology and Electrical Engineering, ICITEE 2018, Bali, Indonesia, 18/7/24. https://doi.org/10.1109/ICITEED.2018.8534870

Afandi AN, Fadlika I, Sendari S, Miyauchi H, Fujita G, Tutkun N. 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. Institute of Electrical and Electronics Engineers Inc. 2018. p. 40-45. 8534870 doi: 10.1109/ICITEED.2018.8534870

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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.",

keywords = "Abc algorithm, Economic dispatch, Emission dispatch, Genetic algorithm, Load demand, Power system",

author = "Afandi, {A. N.} and I. Fadlika and S. Sendari and Hajime Miyauchi and Goro Fujita and Nedim Tutkun",

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AU - Afandi, A. N.

AU - Fadlika, I.

AU - Sendari, S.

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AU - Tutkun, Nedim

PY - 2018/11/13

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N2 - 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.

AB - 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.

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Comparison of ABC and genetic algorithms on economic power dispatch

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