Multi-objective economic emission dispatch solution using hybrid FFA (firefly algorithm) and considering wind power penetration
This paper presents a new and efficient method for solving EPD (economic power dispatch) problem. To solve this problem we have combined two meta-heuristic methods, the FFA and the mGA. The acceleration of the convergence speed, the improved solution quality and the balance between exploration and exploitation are achieved with FFA–mGA approach. The searching process starts with the FFA by initializing a group of random fireflies. After that, the search is pursued by the mGA. Then, the best results (better than FFA) found from mGA are still communicated to the FFA as an initial space search.
Year of publication: |
2014
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Authors: | Younes, Mimoun ; Khodja, Fouad ; Kherfane, Riad Lakhdar |
Published in: |
Energy. - Elsevier, ISSN 0360-5442. - Vol. 67.2014, C, p. 595-606
|
Publisher: |
Elsevier |
Subject: | EPD (economic power dispatch) | FFA (firefly algorithm) | GA (genetic algorithm) | Hybrid method | Wind power |
Saved in:
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