Proceedings of the 2017 International Conference on Economics, Finance and Statistics (ICEFS 2017)

Multi Fuels Allocation for Power Generation using Genetic Algorithm

Authors
Anurak Choeichum, Narongdech Keeratipranon, Chaiyaporn Khemapatapan
Corresponding Author
Anurak Choeichum
Available Online January 2017.
DOI
https://doi.org/10.2991/icefs-17.2017.49How to use a DOI?
Keywords
Fuels Allocation, Power Generation, Genetic Algorithm, Power Energy
Abstract
This paper presents solution of optimal multi fuels allocation for electric power generation planning problem via a genetic algorithm (GA). The objective is to maximize the electric power energy output and minimize the fuels cost. This is a considerably difficult problem because of its data variation. GA can provide an appropriate heuristic search method and return an actual or near optimal solution. This research used some heuristic in addition during crossover and mutation for tuning the system to obtain a better candidate solution. An experimental result showed a significantly improve result compared to other techniques.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2017 International Conference on Economics, Finance and Statistics (ICEFS 2017)
Part of series
Advances in Economics, Business and Management Research
Publication Date
January 2017
ISBN
978-94-6252-311-1
ISSN
2352-5428
DOI
https://doi.org/10.2991/icefs-17.2017.49How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Anurak Choeichum
AU  - Narongdech Keeratipranon
AU  - Chaiyaporn Khemapatapan
PY  - 2017/01
DA  - 2017/01
TI  - Multi Fuels Allocation for Power Generation using Genetic Algorithm
BT  - 2017 International Conference on Economics, Finance and Statistics (ICEFS 2017)
PB  - Atlantis Press
SP  - 393
EP  - 397
SN  - 2352-5428
UR  - https://doi.org/10.2991/icefs-17.2017.49
DO  - https://doi.org/10.2991/icefs-17.2017.49
ID  - Choeichum2017/01
ER  -