Multi Fuels Allocation for Power Generation using Genetic Algorithm

DOI

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.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the 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  - 10.2991/icefs-17.2017.49
ID  - Choeichum2017/01
ER  -