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Hybrid metaheuristic for the combined economic-emission dispatch problem

机译:混合元启发法用于组合式经济排放调度问题

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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.
机译:电力系统中的组合经济排放调度程序将经济和排放影响视为竞争目标,这需要某种形式的冲突解决方案来实现解决方案,这就是为什么我们需要高效的优化算法。 Firefly算法和bat算法是最新的方法,并且已经在多个研究领域证明了它们的有效性。在本文中,我们将通过将这些方法应用于5总线的标准电网和3总线的发电机来评估这些方法的性能,然后,我们将提出由这两种元启发式算法混合产生的第三种方法。

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