A grouping-based global harmony search algorithm for modeling of proton exchange membrane fuel cell
A grouping-based global harmony search algorithm for modeling of proton exchange membrane fuel cell
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DOI：
10.1016/j.ijhydene.2011.01.070
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发表时间：
2011-04
影响因子：
7.2
通讯作者：
A. Askarzadeh;A. Rezazadeh
中科院分区：
文献类型：
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作者：
A. Askarzadeh;A. Rezazadeh
近年来，质子交换膜燃料电池（PEMFC）电压与电流（V-I）特性的准确识别引起了文献的广泛关注。然而，精确建模的主要缺点是缺乏有关模型参数精确值的信息。在本文中，为了克服这个缺点，提出了一种基于分组的全局和谐搜索算法GGHS，用于参数识别问题。所提出的算法试图提供一种有效的方式来适当地即兴创作新的和声。为了研究所提出算法的性能，将GGHS获得的结果与两个版本的和声搜索（HS）算法、三个版本的粒子群优化（PSO）算法以及导引者优化算法（SOA）获得的结果进行了比较。模拟结果强调了 GGHS 相对于其他方法的优越性。
In recent years, accurate identification of voltage versus current (V–I) characteristics of proton exchange membrane fuel cell (PEMFC) has attracted significant attention in the literature. However, the main drawback in accurate modeling is the lack of information about the precise values of the model parameters. In this paper, in order to overcome this drawback a grouping-based global harmony search algorithm, named GGHS, is proposed for parameter identification issue. The proposed algorithm attempts to provide an efficient way in which a new harmony can be properly improvised. In order to study the capability of the proposed algorithm, the results obtained by GGHS are compared with those obtained by two versions of harmony search (HS) algorithms, three versions of particle swarm optimization (PSO) algorithms, as well as seeker optimization algorithm (SOA). Simulation results accentuate the superiority of the GGHS over the other methods.