Multi Fuels Allocation for Power Generation using Genetic Algorithm
Anurak Choeichum, Narongdech Keeratipranon, Chaiyaporn Khemapatapan
Available Online January 2017.
- https://doi.org/10.2991/icefs-17.2017.49How to use a DOI?
- Fuels Allocation, Power Generation, Genetic Algorithm, Power Energy
- 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.
- 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 -