Hybrid metaheuristic for the combined economic-emission dispatch problem

Y. A. Gherbi, Hamid Bouzeboudja, F. Lakdja
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引用次数: 3

Abstract

The combined economic-emission dispatch procedure in electric power systems treat economic and emission impact as competing objectives, which requires some form of conflict resolution to achieve a solution, that's why we need efficient optimization algorithms. Firefly algorithm and bat algorithm are the most recent methods and they already proved there efficient in several fields of research. In this paper, we will evaluate the performance of these methods by applying them to a standard electric network of 5 buses with 3 buses generator, and then we will propose a third approach that results from the hybridization of these two metaheuristics.
经济-排放联合调度问题的混合元启发式算法
电力系统的经济-排放联合调度过程将经济和排放影响作为相互竞争的目标,这就需要某种形式的冲突解决来实现,这就需要高效的优化算法。萤火虫算法和蝙蝠算法是最新的算法,它们已经在多个领域的研究中被证明是有效的。在本文中,我们将通过将这些方法应用于5总线与3总线发电机的标准电网来评估这些方法的性能,然后我们将提出第三种方法,该方法是由这两种元启发式混合产生的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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